Real Estate.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Real Estate Business - Price Predictor (Using Machine Learning)\n",
    "***This is a machine learning model that can be used for predict prices in the real estate business.***\n",
    "\n",
    "Developed by Sourav Ghosh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing = pd.read_csv(\"data.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.00632</td>\n",
       "      <td>18.0</td>\n",
       "      <td>2.31</td>\n",
       "      <td>0</td>\n",
       "      <td>0.538</td>\n",
       "      <td>6.575</td>\n",
       "      <td>65.2</td>\n",
       "      <td>4.0900</td>\n",
       "      <td>1</td>\n",
       "      <td>296</td>\n",
       "      <td>15.3</td>\n",
       "      <td>396.90</td>\n",
       "      <td>4.98</td>\n",
       "      <td>24.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.02731</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>6.421</td>\n",
       "      <td>78.9</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.90</td>\n",
       "      <td>9.14</td>\n",
       "      <td>21.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.02729</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.07</td>\n",
       "      <td>0</td>\n",
       "      <td>0.469</td>\n",
       "      <td>7.185</td>\n",
       "      <td>61.1</td>\n",
       "      <td>4.9671</td>\n",
       "      <td>2</td>\n",
       "      <td>242</td>\n",
       "      <td>17.8</td>\n",
       "      <td>392.83</td>\n",
       "      <td>4.03</td>\n",
       "      <td>34.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.03237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>6.998</td>\n",
       "      <td>45.8</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>394.63</td>\n",
       "      <td>2.94</td>\n",
       "      <td>33.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0.06905</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.18</td>\n",
       "      <td>0</td>\n",
       "      <td>0.458</td>\n",
       "      <td>7.147</td>\n",
       "      <td>54.2</td>\n",
       "      <td>6.0622</td>\n",
       "      <td>3</td>\n",
       "      <td>222</td>\n",
       "      <td>18.7</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.33</td>\n",
       "      <td>36.2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD  TAX  PTRATIO  \\\n",
       "0  0.00632  18.0   2.31     0  0.538  6.575  65.2  4.0900    1  296     15.3   \n",
       "1  0.02731   0.0   7.07     0  0.469  6.421  78.9  4.9671    2  242     17.8   \n",
       "2  0.02729   0.0   7.07     0  0.469  7.185  61.1  4.9671    2  242     17.8   \n",
       "3  0.03237   0.0   2.18     0  0.458  6.998  45.8  6.0622    3  222     18.7   \n",
       "4  0.06905   0.0   2.18     0  0.458  7.147  54.2  6.0622    3  222     18.7   \n",
       "\n",
       "        B  LSTAT  MEDV  \n",
       "0  396.90   4.98  24.0  \n",
       "1  396.90   9.14  21.6  \n",
       "2  392.83   4.03  34.7  \n",
       "3  394.63   2.94  33.4  \n",
       "4  396.90   5.33  36.2  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 506 entries, 0 to 505\n",
      "Data columns (total 14 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   CRIM     506 non-null    float64\n",
      " 1   ZN       506 non-null    float64\n",
      " 2   INDUS    506 non-null    float64\n",
      " 3   CHAS     506 non-null    int64  \n",
      " 4   NOX      506 non-null    float64\n",
      " 5   RM       501 non-null    float64\n",
      " 6   AGE      506 non-null    float64\n",
      " 7   DIS      506 non-null    float64\n",
      " 8   RAD      506 non-null    int64  \n",
      " 9   TAX      506 non-null    int64  \n",
      " 10  PTRATIO  506 non-null    float64\n",
      " 11  B        506 non-null    float64\n",
      " 12  LSTAT    506 non-null    float64\n",
      " 13  MEDV     506 non-null    float64\n",
      "dtypes: float64(11), int64(3)\n",
      "memory usage: 55.4 KB\n"
     ]
    }
   ],
   "source": [
    "housing.info()\n",
    "#   1. CRIM      per capita crime rate by town\n",
    "#   2. ZN        proportion of residential land zoned for lots over \n",
    "#                25,000 sq.ft.\n",
    "#   3. INDUS     proportion of non-retail business acres per town\n",
    "#   4. CHAS      Charles River dummy variable (= 1 if tract bounds \n",
    "#                river; 0 otherwise)\n",
    "#   5. NOX       nitric oxides concentration (parts per 10 million)\n",
    "#   6. RM        average number of rooms per dwelling\n",
    "#   7. AGE       proportion of owner-occupied units built prior to 1940\n",
    "#   8. DIS       weighted distances to five Boston employment centres\n",
    "#   9. RAD       index of accessibility to radial highways\n",
    "#   10. TAX      full-value property-tax rate per $10,000\n",
    "#   11. PTRATIO  pupil-teacher ratio by town\n",
    "#   12. B        1000(Bk - 0.63)^2 where Bk is the proportion of blacks \n",
    "#                by town\n",
    "#   13. LSTAT    % lower status of the population\n",
    "#   14. MEDV     Median value of owner-occupied homes in $1000's"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0      0\n",
       "1      0\n",
       "2      0\n",
       "3      0\n",
       "4      0\n",
       "      ..\n",
       "501    0\n",
       "502    0\n",
       "503    0\n",
       "504    0\n",
       "505    0\n",
       "Name: CHAS, Length: 506, dtype: int64"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing['CHAS']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    471\n",
       "1     35\n",
       "Name: CHAS, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing['CHAS'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>501.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "      <td>506.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.613524</td>\n",
       "      <td>11.363636</td>\n",
       "      <td>11.136779</td>\n",
       "      <td>0.069170</td>\n",
       "      <td>0.554695</td>\n",
       "      <td>6.284341</td>\n",
       "      <td>68.574901</td>\n",
       "      <td>3.795043</td>\n",
       "      <td>9.549407</td>\n",
       "      <td>408.237154</td>\n",
       "      <td>18.455534</td>\n",
       "      <td>356.674032</td>\n",
       "      <td>12.653063</td>\n",
       "      <td>22.532806</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.601545</td>\n",
       "      <td>23.322453</td>\n",
       "      <td>6.860353</td>\n",
       "      <td>0.253994</td>\n",
       "      <td>0.115878</td>\n",
       "      <td>0.705587</td>\n",
       "      <td>28.148861</td>\n",
       "      <td>2.105710</td>\n",
       "      <td>8.707259</td>\n",
       "      <td>168.537116</td>\n",
       "      <td>2.164946</td>\n",
       "      <td>91.294864</td>\n",
       "      <td>7.141062</td>\n",
       "      <td>9.197104</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.006320</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.460000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.385000</td>\n",
       "      <td>3.561000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>1.129600</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>12.600000</td>\n",
       "      <td>0.320000</td>\n",
       "      <td>1.730000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.082045</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.190000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.449000</td>\n",
       "      <td>5.884000</td>\n",
       "      <td>45.025000</td>\n",
       "      <td>2.100175</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>279.000000</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>375.377500</td>\n",
       "      <td>6.950000</td>\n",
       "      <td>17.025000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.256510</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.690000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.538000</td>\n",
       "      <td>6.208000</td>\n",
       "      <td>77.500000</td>\n",
       "      <td>3.207450</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>330.000000</td>\n",
       "      <td>19.050000</td>\n",
       "      <td>391.440000</td>\n",
       "      <td>11.360000</td>\n",
       "      <td>21.200000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.677083</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>18.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.624000</td>\n",
       "      <td>6.625000</td>\n",
       "      <td>94.075000</td>\n",
       "      <td>5.188425</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>666.000000</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>396.225000</td>\n",
       "      <td>16.955000</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>88.976200</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.740000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.871000</td>\n",
       "      <td>8.780000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>12.126500</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>711.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>396.900000</td>\n",
       "      <td>37.970000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             CRIM          ZN       INDUS        CHAS         NOX          RM  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  501.000000   \n",
       "mean     3.613524   11.363636   11.136779    0.069170    0.554695    6.284341   \n",
       "std      8.601545   23.322453    6.860353    0.253994    0.115878    0.705587   \n",
       "min      0.006320    0.000000    0.460000    0.000000    0.385000    3.561000   \n",
       "25%      0.082045    0.000000    5.190000    0.000000    0.449000    5.884000   \n",
       "50%      0.256510    0.000000    9.690000    0.000000    0.538000    6.208000   \n",
       "75%      3.677083   12.500000   18.100000    0.000000    0.624000    6.625000   \n",
       "max     88.976200  100.000000   27.740000    1.000000    0.871000    8.780000   \n",
       "\n",
       "              AGE         DIS         RAD         TAX     PTRATIO           B  \\\n",
       "count  506.000000  506.000000  506.000000  506.000000  506.000000  506.000000   \n",
       "mean    68.574901    3.795043    9.549407  408.237154   18.455534  356.674032   \n",
       "std     28.148861    2.105710    8.707259  168.537116    2.164946   91.294864   \n",
       "min      2.900000    1.129600    1.000000  187.000000   12.600000    0.320000   \n",
       "25%     45.025000    2.100175    4.000000  279.000000   17.400000  375.377500   \n",
       "50%     77.500000    3.207450    5.000000  330.000000   19.050000  391.440000   \n",
       "75%     94.075000    5.188425   24.000000  666.000000   20.200000  396.225000   \n",
       "max    100.000000   12.126500   24.000000  711.000000   22.000000  396.900000   \n",
       "\n",
       "            LSTAT        MEDV  \n",
       "count  506.000000  506.000000  \n",
       "mean    12.653063   22.532806  \n",
       "std      7.141062    9.197104  \n",
       "min      1.730000    5.000000  \n",
       "25%      6.950000   17.025000  \n",
       "50%     11.360000   21.200000  \n",
       "75%     16.955000   25.000000  \n",
       "max     37.970000   50.000000  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Plotting histogram"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:title={'center':'CRIM'}>,\n",
       "        <AxesSubplot:title={'center':'ZN'}>,\n",
       "        <AxesSubplot:title={'center':'INDUS'}>,\n",
       "        <AxesSubplot:title={'center':'CHAS'}>],\n",
       "       [<AxesSubplot:title={'center':'NOX'}>,\n",
       "        <AxesSubplot:title={'center':'RM'}>,\n",
       "        <AxesSubplot:title={'center':'AGE'}>,\n",
       "        <AxesSubplot:title={'center':'DIS'}>],\n",
       "       [<AxesSubplot:title={'center':'RAD'}>,\n",
       "        <AxesSubplot:title={'center':'TAX'}>,\n",
       "        <AxesSubplot:title={'center':'PTRATIO'}>,\n",
       "        <AxesSubplot:title={'center':'B'}>],\n",
       "       [<AxesSubplot:title={'center':'LSTAT'}>,\n",
       "        <AxesSubplot:title={'center':'MEDV'}>, <AxesSubplot:>,\n",
       "        <AxesSubplot:>]], dtype=object)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1080 with 16 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# For plotting histogram\n",
    "import matplotlib.pyplot as plt\n",
    "housing.hist(bins=50, figsize=(20, 15))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Train Test Splitting"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Train Test Split (For Learning purpose)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# For learning purpose (Backend function of Train Test Split)\n",
    "import numpy as np\n",
    "def split_train_test(data, test_ratio):\n",
    "    np.random.seed(42)\n",
    "    suffled = np.random.permutation(len(data))\n",
    "    print(suffled)\n",
    "    test_set_size = int(len(data) * test_ratio)\n",
    "    test_indicies = suffled[:test_set_size]\n",
    "    train_indicies = suffled[test_set_size:]\n",
    "    return data.iloc[train_indicies], data.iloc[test_indicies]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[173 274 491  72 452  76 316 140 471 500 218   9 414  78 323 473 124 388\n",
      " 195 448 271 278  30 501 421 474  79 454 210 497 172 320 375 362 467 153\n",
      "   2 336 208  73 496 307 204  68  90 390  33  70 470   0  11 281  22 101\n",
      " 268 485 442 290  84 245  63  55 229  18 351 209 395  82  39 456  46 481\n",
      " 444 355  77 398 104 203 381 489  69 408 255 392 312 234 460 324  93 137\n",
      " 176 417 131 346 365 132 371 412 436 411  86  75 477  15 332 423  19 325\n",
      " 335  56 437 409 334 181 227 434 180  25 493 238 244 250 418 117  42 322\n",
      " 347 182 155 280 126 329  31 113 148 432 338  57 194  24  17 298  66 211\n",
      " 404  94 154 441  23 225 433 447   5 116  45  16 468 360   3 405 185  60\n",
      " 110 321 265  29 262 478  26   7 492 108  37 157 472 118 114 175 192 272\n",
      " 144 373 383 356 277 220 450 141 369  67 361 168 499 394 400 193 249 109\n",
      " 420 145  92 152 222 304  83 248 165 163 199 231  74 311 455 253 119 284\n",
      " 302 483 357 403 228 261 237 386 476  36 196 139 368 247 287 378  59 111\n",
      "  89 266   6 364 503 341 158 150 177 397 184 318  10 384 103  81  38 317\n",
      " 167 475 299 296 198 377 146 396 147 428 289 123 490  96 143 239 275  97\n",
      " 353 122 183 202 246 484 301 354 410 399 286 125 305 223 422 219 129 424\n",
      " 291 331 380 480 358 297 294 370 438 112 179 310 342 333 487 457 233 314\n",
      " 164 136 197 258 232 115 120 352 224 406 340 127 285 415 107 374 449 133\n",
      " 367  44 495  65 283  85 242 186 425 159  12  35  28 170 142 402 349 221\n",
      "  95  51 240 376 382 178  41 440 391 206 282 254 416   4 256 453 100 226\n",
      " 431 213 426 171  98 292 215  61  47  32 267 327 200 451  27 393 230 260\n",
      " 288 162 429 138  62 135 128 482   8 326 469  64 300  14 156  40 379 465\n",
      " 407 216 279 439 504 337 236 207 212 295 462 251 494 464 303 350 269 201\n",
      " 161  43 217 401 190 309 259 105  53 389   1 446 488  49 419  80 205  34\n",
      " 430 263 427 366  91 339 479  52 345 264 241  13 315  88 387 273 166 328\n",
      " 498 134 306 486 319 243  54 363  50 461 174 445 189 502 463 187 169  58\n",
      "  48 344 235 252  21 313 459 160 276 443 191 385 293 413 343 257 308 149\n",
      " 130 151 359  99 372  87 458 330 214 466 121 505  20 188  71 106 270 348\n",
      " 435 102]\n"
     ]
    }
   ],
   "source": [
    "train_set, test_set = split_train_test(housing, 0.2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rows in Train Set: 405\n",
      "Rows in test Set: 101\n",
      "\n"
     ]
    }
   ],
   "source": [
    "print(f\"Rows in Train Set: {len(train_set)}\\nRows in test Set: {len(test_set)}\\n\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Train Test Split (By Using sklearn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Rows in Train Set: 404\n",
      "Rows in test Set: 102\n",
      "\n"
     ]
    }
   ],
   "source": [
    "# We can do the same thing(above 3 Cell) by using sklearn\n",
    "from sklearn.model_selection import train_test_split\n",
    "train_set, test_set = train_test_split(housing, test_size=0.2, random_state=42)\n",
    "print(f\"Rows in Train Set: {len(train_set)}\\nRows in test Set: {len(test_set)}\\n\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import StratifiedShuffleSplit\n",
    "split = StratifiedShuffleSplit(n_splits=1, test_size=0.2, random_state=42)\n",
    "for train_index, test_index in split.split(housing, housing['CHAS']):\n",
    "    strat_train_set = housing.loc[train_index]\n",
    "    strat_test_set = housing.loc[test_index]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>0.04819</td>\n",
       "      <td>80.0</td>\n",
       "      <td>3.64</td>\n",
       "      <td>0</td>\n",
       "      <td>0.392</td>\n",
       "      <td>6.108</td>\n",
       "      <td>32.0</td>\n",
       "      <td>9.2203</td>\n",
       "      <td>1</td>\n",
       "      <td>315</td>\n",
       "      <td>16.4</td>\n",
       "      <td>392.89</td>\n",
       "      <td>6.57</td>\n",
       "      <td>21.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>0.01501</td>\n",
       "      <td>80.0</td>\n",
       "      <td>2.01</td>\n",
       "      <td>0</td>\n",
       "      <td>0.435</td>\n",
       "      <td>6.635</td>\n",
       "      <td>29.7</td>\n",
       "      <td>8.3440</td>\n",
       "      <td>4</td>\n",
       "      <td>280</td>\n",
       "      <td>17.0</td>\n",
       "      <td>390.94</td>\n",
       "      <td>5.99</td>\n",
       "      <td>24.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>4.87141</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.614</td>\n",
       "      <td>6.484</td>\n",
       "      <td>93.6</td>\n",
       "      <td>2.3053</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>396.21</td>\n",
       "      <td>18.68</td>\n",
       "      <td>16.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>0.18159</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.38</td>\n",
       "      <td>0</td>\n",
       "      <td>0.493</td>\n",
       "      <td>6.376</td>\n",
       "      <td>54.3</td>\n",
       "      <td>4.5404</td>\n",
       "      <td>5</td>\n",
       "      <td>287</td>\n",
       "      <td>19.6</td>\n",
       "      <td>396.90</td>\n",
       "      <td>6.87</td>\n",
       "      <td>23.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>0.30347</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.38</td>\n",
       "      <td>0</td>\n",
       "      <td>0.493</td>\n",
       "      <td>6.312</td>\n",
       "      <td>28.9</td>\n",
       "      <td>5.4159</td>\n",
       "      <td>5</td>\n",
       "      <td>287</td>\n",
       "      <td>19.6</td>\n",
       "      <td>396.90</td>\n",
       "      <td>6.15</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>3.53501</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.58</td>\n",
       "      <td>1</td>\n",
       "      <td>0.871</td>\n",
       "      <td>6.152</td>\n",
       "      <td>82.6</td>\n",
       "      <td>1.7455</td>\n",
       "      <td>5</td>\n",
       "      <td>403</td>\n",
       "      <td>14.7</td>\n",
       "      <td>88.01</td>\n",
       "      <td>15.02</td>\n",
       "      <td>15.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>7.05042</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.614</td>\n",
       "      <td>6.103</td>\n",
       "      <td>85.1</td>\n",
       "      <td>2.0218</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>2.52</td>\n",
       "      <td>23.29</td>\n",
       "      <td>13.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>0.08187</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.89</td>\n",
       "      <td>0</td>\n",
       "      <td>0.445</td>\n",
       "      <td>7.820</td>\n",
       "      <td>36.9</td>\n",
       "      <td>3.4952</td>\n",
       "      <td>2</td>\n",
       "      <td>276</td>\n",
       "      <td>18.0</td>\n",
       "      <td>393.53</td>\n",
       "      <td>3.57</td>\n",
       "      <td>43.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455</th>\n",
       "      <td>4.75237</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.713</td>\n",
       "      <td>6.525</td>\n",
       "      <td>86.5</td>\n",
       "      <td>2.4358</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>50.92</td>\n",
       "      <td>18.13</td>\n",
       "      <td>14.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>0.04560</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.89</td>\n",
       "      <td>1</td>\n",
       "      <td>0.550</td>\n",
       "      <td>5.888</td>\n",
       "      <td>56.0</td>\n",
       "      <td>3.1121</td>\n",
       "      <td>5</td>\n",
       "      <td>276</td>\n",
       "      <td>16.4</td>\n",
       "      <td>392.80</td>\n",
       "      <td>13.51</td>\n",
       "      <td>23.3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>404 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD  TAX  \\\n",
       "254  0.04819  80.0   3.64     0  0.392  6.108  32.0  9.2203    1  315   \n",
       "348  0.01501  80.0   2.01     0  0.435  6.635  29.7  8.3440    4  280   \n",
       "476  4.87141   0.0  18.10     0  0.614  6.484  93.6  2.3053   24  666   \n",
       "321  0.18159   0.0   7.38     0  0.493  6.376  54.3  4.5404    5  287   \n",
       "326  0.30347   0.0   7.38     0  0.493  6.312  28.9  5.4159    5  287   \n",
       "..       ...   ...    ...   ...    ...    ...   ...     ...  ...  ...   \n",
       "155  3.53501   0.0  19.58     1  0.871  6.152  82.6  1.7455    5  403   \n",
       "423  7.05042   0.0  18.10     0  0.614  6.103  85.1  2.0218   24  666   \n",
       "98   0.08187   0.0   2.89     0  0.445  7.820  36.9  3.4952    2  276   \n",
       "455  4.75237   0.0  18.10     0  0.713  6.525  86.5  2.4358   24  666   \n",
       "216  0.04560   0.0  13.89     1  0.550  5.888  56.0  3.1121    5  276   \n",
       "\n",
       "     PTRATIO       B  LSTAT  MEDV  \n",
       "254     16.4  392.89   6.57  21.9  \n",
       "348     17.0  390.94   5.99  24.5  \n",
       "476     20.2  396.21  18.68  16.7  \n",
       "321     19.6  396.90   6.87  23.1  \n",
       "326     19.6  396.90   6.15  23.0  \n",
       "..       ...     ...    ...   ...  \n",
       "155     14.7   88.01  15.02  15.6  \n",
       "423     20.2    2.52  23.29  13.4  \n",
       "98      18.0  393.53   3.57  43.8  \n",
       "455     20.2   50.92  18.13  14.1  \n",
       "216     16.4  392.80  13.51  23.3  \n",
       "\n",
       "[404 rows x 14 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "strat_train_set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>399.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.602814</td>\n",
       "      <td>10.836634</td>\n",
       "      <td>11.344950</td>\n",
       "      <td>0.069307</td>\n",
       "      <td>0.558064</td>\n",
       "      <td>6.279481</td>\n",
       "      <td>69.039851</td>\n",
       "      <td>3.746210</td>\n",
       "      <td>9.735149</td>\n",
       "      <td>412.341584</td>\n",
       "      <td>18.473267</td>\n",
       "      <td>353.392822</td>\n",
       "      <td>12.791609</td>\n",
       "      <td>22.509406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.099383</td>\n",
       "      <td>22.150636</td>\n",
       "      <td>6.877817</td>\n",
       "      <td>0.254290</td>\n",
       "      <td>0.116875</td>\n",
       "      <td>0.716784</td>\n",
       "      <td>28.258248</td>\n",
       "      <td>2.099057</td>\n",
       "      <td>8.731259</td>\n",
       "      <td>168.672623</td>\n",
       "      <td>2.129243</td>\n",
       "      <td>96.069235</td>\n",
       "      <td>7.235740</td>\n",
       "      <td>9.385531</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.006320</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.740000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.389000</td>\n",
       "      <td>3.561000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>1.129600</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.320000</td>\n",
       "      <td>1.730000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.086962</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.190000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.453000</td>\n",
       "      <td>5.876500</td>\n",
       "      <td>44.850000</td>\n",
       "      <td>2.035975</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>284.000000</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>374.617500</td>\n",
       "      <td>6.847500</td>\n",
       "      <td>16.600000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.286735</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.900000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.538000</td>\n",
       "      <td>6.209000</td>\n",
       "      <td>78.200000</td>\n",
       "      <td>3.122200</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>337.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>390.955000</td>\n",
       "      <td>11.570000</td>\n",
       "      <td>21.150000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.731923</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>18.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.631000</td>\n",
       "      <td>6.630500</td>\n",
       "      <td>94.100000</td>\n",
       "      <td>5.100400</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>666.000000</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>395.630000</td>\n",
       "      <td>17.102500</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>73.534100</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.740000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.871000</td>\n",
       "      <td>8.780000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>12.126500</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>711.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>396.900000</td>\n",
       "      <td>36.980000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             CRIM          ZN       INDUS        CHAS         NOX          RM  \\\n",
       "count  404.000000  404.000000  404.000000  404.000000  404.000000  399.000000   \n",
       "mean     3.602814   10.836634   11.344950    0.069307    0.558064    6.279481   \n",
       "std      8.099383   22.150636    6.877817    0.254290    0.116875    0.716784   \n",
       "min      0.006320    0.000000    0.740000    0.000000    0.389000    3.561000   \n",
       "25%      0.086962    0.000000    5.190000    0.000000    0.453000    5.876500   \n",
       "50%      0.286735    0.000000    9.900000    0.000000    0.538000    6.209000   \n",
       "75%      3.731923   12.500000   18.100000    0.000000    0.631000    6.630500   \n",
       "max     73.534100  100.000000   27.740000    1.000000    0.871000    8.780000   \n",
       "\n",
       "              AGE         DIS         RAD         TAX     PTRATIO           B  \\\n",
       "count  404.000000  404.000000  404.000000  404.000000  404.000000  404.000000   \n",
       "mean    69.039851    3.746210    9.735149  412.341584   18.473267  353.392822   \n",
       "std     28.258248    2.099057    8.731259  168.672623    2.129243   96.069235   \n",
       "min      2.900000    1.129600    1.000000  187.000000   13.000000    0.320000   \n",
       "25%     44.850000    2.035975    4.000000  284.000000   17.400000  374.617500   \n",
       "50%     78.200000    3.122200    5.000000  337.000000   19.000000  390.955000   \n",
       "75%     94.100000    5.100400   24.000000  666.000000   20.200000  395.630000   \n",
       "max    100.000000   12.126500   24.000000  711.000000   22.000000  396.900000   \n",
       "\n",
       "            LSTAT        MEDV  \n",
       "count  404.000000  404.000000  \n",
       "mean    12.791609   22.509406  \n",
       "std      7.235740    9.385531  \n",
       "min      1.730000    5.000000  \n",
       "25%      6.847500   16.600000  \n",
       "50%     11.570000   21.150000  \n",
       "75%     17.102500   25.000000  \n",
       "max     36.980000   50.000000  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "strat_train_set.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 404 entries, 254 to 216\n",
      "Data columns (total 14 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   CRIM     404 non-null    float64\n",
      " 1   ZN       404 non-null    float64\n",
      " 2   INDUS    404 non-null    float64\n",
      " 3   CHAS     404 non-null    int64  \n",
      " 4   NOX      404 non-null    float64\n",
      " 5   RM       399 non-null    float64\n",
      " 6   AGE      404 non-null    float64\n",
      " 7   DIS      404 non-null    float64\n",
      " 8   RAD      404 non-null    int64  \n",
      " 9   TAX      404 non-null    int64  \n",
      " 10  PTRATIO  404 non-null    float64\n",
      " 11  B        404 non-null    float64\n",
      " 12  LSTAT    404 non-null    float64\n",
      " 13  MEDV     404 non-null    float64\n",
      "dtypes: float64(11), int64(3)\n",
      "memory usage: 47.3 KB\n"
     ]
    }
   ],
   "source": [
    "strat_train_set.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    376\n",
       "1     28\n",
       "Name: CHAS, dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "strat_train_set['CHAS'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>342</th>\n",
       "      <td>0.02498</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.89</td>\n",
       "      <td>0</td>\n",
       "      <td>0.518</td>\n",
       "      <td>6.540</td>\n",
       "      <td>59.7</td>\n",
       "      <td>6.2669</td>\n",
       "      <td>1</td>\n",
       "      <td>422</td>\n",
       "      <td>15.9</td>\n",
       "      <td>389.96</td>\n",
       "      <td>8.65</td>\n",
       "      <td>16.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>17.86670</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.671</td>\n",
       "      <td>6.223</td>\n",
       "      <td>100.0</td>\n",
       "      <td>1.3861</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>393.74</td>\n",
       "      <td>21.78</td>\n",
       "      <td>10.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>223</th>\n",
       "      <td>0.61470</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.20</td>\n",
       "      <td>0</td>\n",
       "      <td>0.507</td>\n",
       "      <td>6.618</td>\n",
       "      <td>80.8</td>\n",
       "      <td>3.2721</td>\n",
       "      <td>8</td>\n",
       "      <td>307</td>\n",
       "      <td>17.4</td>\n",
       "      <td>396.90</td>\n",
       "      <td>7.60</td>\n",
       "      <td>30.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>219</th>\n",
       "      <td>0.11425</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.89</td>\n",
       "      <td>1</td>\n",
       "      <td>0.550</td>\n",
       "      <td>6.373</td>\n",
       "      <td>92.4</td>\n",
       "      <td>3.3633</td>\n",
       "      <td>5</td>\n",
       "      <td>276</td>\n",
       "      <td>16.4</td>\n",
       "      <td>393.74</td>\n",
       "      <td>10.50</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>0.25387</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.91</td>\n",
       "      <td>0</td>\n",
       "      <td>0.448</td>\n",
       "      <td>5.399</td>\n",
       "      <td>95.3</td>\n",
       "      <td>5.8700</td>\n",
       "      <td>3</td>\n",
       "      <td>233</td>\n",
       "      <td>17.9</td>\n",
       "      <td>396.90</td>\n",
       "      <td>30.81</td>\n",
       "      <td>14.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>0.05660</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.41</td>\n",
       "      <td>0</td>\n",
       "      <td>0.489</td>\n",
       "      <td>7.007</td>\n",
       "      <td>86.3</td>\n",
       "      <td>3.4217</td>\n",
       "      <td>2</td>\n",
       "      <td>270</td>\n",
       "      <td>17.8</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.50</td>\n",
       "      <td>23.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>466</th>\n",
       "      <td>3.77498</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.655</td>\n",
       "      <td>5.952</td>\n",
       "      <td>84.7</td>\n",
       "      <td>2.8715</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>22.01</td>\n",
       "      <td>17.15</td>\n",
       "      <td>19.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>0.05360</td>\n",
       "      <td>21.0</td>\n",
       "      <td>5.64</td>\n",
       "      <td>0</td>\n",
       "      <td>0.439</td>\n",
       "      <td>6.511</td>\n",
       "      <td>21.1</td>\n",
       "      <td>6.8147</td>\n",
       "      <td>4</td>\n",
       "      <td>243</td>\n",
       "      <td>16.8</td>\n",
       "      <td>396.90</td>\n",
       "      <td>5.28</td>\n",
       "      <td>25.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>121</th>\n",
       "      <td>0.07165</td>\n",
       "      <td>0.0</td>\n",
       "      <td>25.65</td>\n",
       "      <td>0</td>\n",
       "      <td>0.581</td>\n",
       "      <td>6.004</td>\n",
       "      <td>84.1</td>\n",
       "      <td>2.1974</td>\n",
       "      <td>2</td>\n",
       "      <td>188</td>\n",
       "      <td>19.1</td>\n",
       "      <td>377.67</td>\n",
       "      <td>14.27</td>\n",
       "      <td>20.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>218</th>\n",
       "      <td>0.11069</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.89</td>\n",
       "      <td>1</td>\n",
       "      <td>0.550</td>\n",
       "      <td>5.951</td>\n",
       "      <td>93.8</td>\n",
       "      <td>2.8893</td>\n",
       "      <td>5</td>\n",
       "      <td>276</td>\n",
       "      <td>16.4</td>\n",
       "      <td>396.90</td>\n",
       "      <td>17.92</td>\n",
       "      <td>21.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>102 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         CRIM    ZN  INDUS  CHAS    NOX     RM    AGE     DIS  RAD  TAX  \\\n",
       "342   0.02498   0.0   1.89     0  0.518  6.540   59.7  6.2669    1  422   \n",
       "379  17.86670   0.0  18.10     0  0.671  6.223  100.0  1.3861   24  666   \n",
       "223   0.61470   0.0   6.20     0  0.507  6.618   80.8  3.2721    8  307   \n",
       "219   0.11425   0.0  13.89     1  0.550  6.373   92.4  3.3633    5  276   \n",
       "48    0.25387   0.0   6.91     0  0.448  5.399   95.3  5.8700    3  233   \n",
       "..        ...   ...    ...   ...    ...    ...    ...     ...  ...  ...   \n",
       "88    0.05660   0.0   3.41     0  0.489  7.007   86.3  3.4217    2  270   \n",
       "466   3.77498   0.0  18.10     0  0.655  5.952   84.7  2.8715   24  666   \n",
       "52    0.05360  21.0   5.64     0  0.439  6.511   21.1  6.8147    4  243   \n",
       "121   0.07165   0.0  25.65     0  0.581  6.004   84.1  2.1974    2  188   \n",
       "218   0.11069   0.0  13.89     1  0.550  5.951   93.8  2.8893    5  276   \n",
       "\n",
       "     PTRATIO       B  LSTAT  MEDV  \n",
       "342     15.9  389.96   8.65  16.5  \n",
       "379     20.2  393.74  21.78  10.2  \n",
       "223     17.4  396.90   7.60  30.1  \n",
       "219     16.4  393.74  10.50  23.0  \n",
       "48      17.9  396.90  30.81  14.4  \n",
       "..       ...     ...    ...   ...  \n",
       "88      17.8  396.90   5.50  23.6  \n",
       "466     20.2   22.01  17.15  19.0  \n",
       "52      16.8  396.90   5.28  25.0  \n",
       "121     19.1  377.67  14.27  20.3  \n",
       "218     16.4  396.90  17.92  21.5  \n",
       "\n",
       "[102 rows x 14 columns]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "strat_test_set"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>MEDV</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>102.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>102.000000</td>\n",
       "      <td>102.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.655942</td>\n",
       "      <td>13.450980</td>\n",
       "      <td>10.312255</td>\n",
       "      <td>0.068627</td>\n",
       "      <td>0.541353</td>\n",
       "      <td>6.303353</td>\n",
       "      <td>66.733333</td>\n",
       "      <td>3.988460</td>\n",
       "      <td>8.813725</td>\n",
       "      <td>391.980392</td>\n",
       "      <td>18.385294</td>\n",
       "      <td>369.670196</td>\n",
       "      <td>12.104314</td>\n",
       "      <td>22.625490</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>10.400966</td>\n",
       "      <td>27.503241</td>\n",
       "      <td>6.761154</td>\n",
       "      <td>0.254068</td>\n",
       "      <td>0.111397</td>\n",
       "      <td>0.662996</td>\n",
       "      <td>27.772183</td>\n",
       "      <td>2.131247</td>\n",
       "      <td>8.614667</td>\n",
       "      <td>167.837379</td>\n",
       "      <td>2.310604</td>\n",
       "      <td>68.075774</td>\n",
       "      <td>6.759257</td>\n",
       "      <td>8.452344</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.009060</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.460000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.385000</td>\n",
       "      <td>4.138000</td>\n",
       "      <td>6.500000</td>\n",
       "      <td>1.137000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>188.000000</td>\n",
       "      <td>12.600000</td>\n",
       "      <td>3.650000</td>\n",
       "      <td>2.470000</td>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.057827</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>4.950000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.448000</td>\n",
       "      <td>5.912750</td>\n",
       "      <td>45.850000</td>\n",
       "      <td>2.223650</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>270.000000</td>\n",
       "      <td>16.800000</td>\n",
       "      <td>377.685000</td>\n",
       "      <td>7.480000</td>\n",
       "      <td>18.925000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.176150</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.760000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.515000</td>\n",
       "      <td>6.176000</td>\n",
       "      <td>71.100000</td>\n",
       "      <td>3.422950</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>307.000000</td>\n",
       "      <td>19.150000</td>\n",
       "      <td>393.740000</td>\n",
       "      <td>10.565000</td>\n",
       "      <td>21.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>2.061955</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.612750</td>\n",
       "      <td>6.539500</td>\n",
       "      <td>93.500000</td>\n",
       "      <td>5.609225</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>461.000000</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>396.900000</td>\n",
       "      <td>16.267500</td>\n",
       "      <td>25.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>88.976200</td>\n",
       "      <td>90.000000</td>\n",
       "      <td>27.740000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.871000</td>\n",
       "      <td>8.725000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>10.585700</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>711.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>396.900000</td>\n",
       "      <td>37.970000</td>\n",
       "      <td>50.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             CRIM          ZN       INDUS        CHAS         NOX          RM  \\\n",
       "count  102.000000  102.000000  102.000000  102.000000  102.000000  102.000000   \n",
       "mean     3.655942   13.450980   10.312255    0.068627    0.541353    6.303353   \n",
       "std     10.400966   27.503241    6.761154    0.254068    0.111397    0.662996   \n",
       "min      0.009060    0.000000    0.460000    0.000000    0.385000    4.138000   \n",
       "25%      0.057827    0.000000    4.950000    0.000000    0.448000    5.912750   \n",
       "50%      0.176150    0.000000    7.760000    0.000000    0.515000    6.176000   \n",
       "75%      2.061955    0.000000   18.100000    0.000000    0.612750    6.539500   \n",
       "max     88.976200   90.000000   27.740000    1.000000    0.871000    8.725000   \n",
       "\n",
       "              AGE         DIS         RAD         TAX     PTRATIO           B  \\\n",
       "count  102.000000  102.000000  102.000000  102.000000  102.000000  102.000000   \n",
       "mean    66.733333    3.988460    8.813725  391.980392   18.385294  369.670196   \n",
       "std     27.772183    2.131247    8.614667  167.837379    2.310604   68.075774   \n",
       "min      6.500000    1.137000    1.000000  188.000000   12.600000    3.650000   \n",
       "25%     45.850000    2.223650    4.000000  270.000000   16.800000  377.685000   \n",
       "50%     71.100000    3.422950    5.000000  307.000000   19.150000  393.740000   \n",
       "75%     93.500000    5.609225    8.000000  461.000000   20.200000  396.900000   \n",
       "max    100.000000   10.585700   24.000000  711.000000   22.000000  396.900000   \n",
       "\n",
       "            LSTAT        MEDV  \n",
       "count  102.000000  102.000000  \n",
       "mean    12.104314   22.625490  \n",
       "std      6.759257    8.452344  \n",
       "min      2.470000    5.000000  \n",
       "25%      7.480000   18.925000  \n",
       "50%     10.565000   21.500000  \n",
       "75%     16.267500   25.000000  \n",
       "max     37.970000   50.000000  "
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "strat_test_set.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 102 entries, 342 to 218\n",
      "Data columns (total 14 columns):\n",
      " #   Column   Non-Null Count  Dtype  \n",
      "---  ------   --------------  -----  \n",
      " 0   CRIM     102 non-null    float64\n",
      " 1   ZN       102 non-null    float64\n",
      " 2   INDUS    102 non-null    float64\n",
      " 3   CHAS     102 non-null    int64  \n",
      " 4   NOX      102 non-null    float64\n",
      " 5   RM       102 non-null    float64\n",
      " 6   AGE      102 non-null    float64\n",
      " 7   DIS      102 non-null    float64\n",
      " 8   RAD      102 non-null    int64  \n",
      " 9   TAX      102 non-null    int64  \n",
      " 10  PTRATIO  102 non-null    float64\n",
      " 11  B        102 non-null    float64\n",
      " 12  LSTAT    102 non-null    float64\n",
      " 13  MEDV     102 non-null    float64\n",
      "dtypes: float64(11), int64(3)\n",
      "memory usage: 12.0 KB\n"
     ]
    }
   ],
   "source": [
    "strat_test_set.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    95\n",
       "1     7\n",
       "Name: CHAS, dtype: int64"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "strat_test_set['CHAS'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Calculaction (Verify no of 0 & 1 is equal or not in train set & test set)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13.428571428571429"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculaction (train set)\n",
    "376/28"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "13.571428571428571"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculaction (test set)\n",
    "95/7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing = strat_train_set.copy()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Looking for Correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "corr_matrix = housing.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MEDV       1.000000\n",
       "RM         0.680857\n",
       "B          0.361761\n",
       "ZN         0.339741\n",
       "DIS        0.240451\n",
       "CHAS       0.205066\n",
       "AGE       -0.364596\n",
       "RAD       -0.374693\n",
       "CRIM      -0.393715\n",
       "NOX       -0.422873\n",
       "TAX       -0.456657\n",
       "INDUS     -0.473516\n",
       "PTRATIO   -0.493534\n",
       "LSTAT     -0.740494\n",
       "Name: MEDV, dtype: float64"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_matrix['MEDV'].sort_values(ascending=False)\n",
    "# * Note: if the value is +1 that means Strong positive Correlations\n",
    "#         if the value is -1 that means Strong negative Correlations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[<AxesSubplot:xlabel='MEDV', ylabel='MEDV'>,\n",
       "        <AxesSubplot:xlabel='RM', ylabel='MEDV'>,\n",
       "        <AxesSubplot:xlabel='ZN', ylabel='MEDV'>,\n",
       "        <AxesSubplot:xlabel='B', ylabel='MEDV'>,\n",
       "        <AxesSubplot:xlabel='DIS', ylabel='MEDV'>,\n",
       "        <AxesSubplot:xlabel='CHAS', ylabel='MEDV'>,\n",
       "        <AxesSubplot:xlabel='AGE', ylabel='MEDV'>,\n",
       "        <AxesSubplot:xlabel='RAD', ylabel='MEDV'>,\n",
       "        <AxesSubplot:xlabel='CRIM', ylabel='MEDV'>,\n",
       "        <AxesSubplot:xlabel='NOX', ylabel='MEDV'>,\n",
       "        <AxesSubplot:xlabel='TAX', ylabel='MEDV'>,\n",
       "        <AxesSubplot:xlabel='INDUS', ylabel='MEDV'>,\n",
       "        <AxesSubplot:xlabel='PTRATIO', ylabel='MEDV'>,\n",
       "        <AxesSubplot:xlabel='LSTAT', ylabel='MEDV'>],\n",
       "       [<AxesSubplot:xlabel='MEDV', ylabel='RM'>,\n",
       "        <AxesSubplot:xlabel='RM', ylabel='RM'>,\n",
       "        <AxesSubplot:xlabel='ZN', ylabel='RM'>,\n",
       "        <AxesSubplot:xlabel='B', ylabel='RM'>,\n",
       "        <AxesSubplot:xlabel='DIS', ylabel='RM'>,\n",
       "        <AxesSubplot:xlabel='CHAS', ylabel='RM'>,\n",
       "        <AxesSubplot:xlabel='AGE', ylabel='RM'>,\n",
       "        <AxesSubplot:xlabel='RAD', ylabel='RM'>,\n",
       "        <AxesSubplot:xlabel='CRIM', ylabel='RM'>,\n",
       "        <AxesSubplot:xlabel='NOX', ylabel='RM'>,\n",
       "        <AxesSubplot:xlabel='TAX', ylabel='RM'>,\n",
       "        <AxesSubplot:xlabel='INDUS', ylabel='RM'>,\n",
       "        <AxesSubplot:xlabel='PTRATIO', ylabel='RM'>,\n",
       "        <AxesSubplot:xlabel='LSTAT', ylabel='RM'>],\n",
       "       [<AxesSubplot:xlabel='MEDV', ylabel='ZN'>,\n",
       "        <AxesSubplot:xlabel='RM', ylabel='ZN'>,\n",
       "        <AxesSubplot:xlabel='ZN', ylabel='ZN'>,\n",
       "        <AxesSubplot:xlabel='B', ylabel='ZN'>,\n",
       "        <AxesSubplot:xlabel='DIS', ylabel='ZN'>,\n",
       "        <AxesSubplot:xlabel='CHAS', ylabel='ZN'>,\n",
       "        <AxesSubplot:xlabel='AGE', ylabel='ZN'>,\n",
       "        <AxesSubplot:xlabel='RAD', ylabel='ZN'>,\n",
       "        <AxesSubplot:xlabel='CRIM', ylabel='ZN'>,\n",
       "        <AxesSubplot:xlabel='NOX', ylabel='ZN'>,\n",
       "        <AxesSubplot:xlabel='TAX', ylabel='ZN'>,\n",
       "        <AxesSubplot:xlabel='INDUS', ylabel='ZN'>,\n",
       "        <AxesSubplot:xlabel='PTRATIO', ylabel='ZN'>,\n",
       "        <AxesSubplot:xlabel='LSTAT', ylabel='ZN'>],\n",
       "       [<AxesSubplot:xlabel='MEDV', ylabel='B'>,\n",
       "        <AxesSubplot:xlabel='RM', ylabel='B'>,\n",
       "        <AxesSubplot:xlabel='ZN', ylabel='B'>,\n",
       "        <AxesSubplot:xlabel='B', ylabel='B'>,\n",
       "        <AxesSubplot:xlabel='DIS', ylabel='B'>,\n",
       "        <AxesSubplot:xlabel='CHAS', ylabel='B'>,\n",
       "        <AxesSubplot:xlabel='AGE', ylabel='B'>,\n",
       "        <AxesSubplot:xlabel='RAD', ylabel='B'>,\n",
       "        <AxesSubplot:xlabel='CRIM', ylabel='B'>,\n",
       "        <AxesSubplot:xlabel='NOX', ylabel='B'>,\n",
       "        <AxesSubplot:xlabel='TAX', ylabel='B'>,\n",
       "        <AxesSubplot:xlabel='INDUS', ylabel='B'>,\n",
       "        <AxesSubplot:xlabel='PTRATIO', ylabel='B'>,\n",
       "        <AxesSubplot:xlabel='LSTAT', ylabel='B'>],\n",
       "       [<AxesSubplot:xlabel='MEDV', ylabel='DIS'>,\n",
       "        <AxesSubplot:xlabel='RM', ylabel='DIS'>,\n",
       "        <AxesSubplot:xlabel='ZN', ylabel='DIS'>,\n",
       "        <AxesSubplot:xlabel='B', ylabel='DIS'>,\n",
       "        <AxesSubplot:xlabel='DIS', ylabel='DIS'>,\n",
       "        <AxesSubplot:xlabel='CHAS', ylabel='DIS'>,\n",
       "        <AxesSubplot:xlabel='AGE', ylabel='DIS'>,\n",
       "        <AxesSubplot:xlabel='RAD', ylabel='DIS'>,\n",
       "        <AxesSubplot:xlabel='CRIM', ylabel='DIS'>,\n",
       "        <AxesSubplot:xlabel='NOX', ylabel='DIS'>,\n",
       "        <AxesSubplot:xlabel='TAX', ylabel='DIS'>,\n",
       "        <AxesSubplot:xlabel='INDUS', ylabel='DIS'>,\n",
       "        <AxesSubplot:xlabel='PTRATIO', ylabel='DIS'>,\n",
       "        <AxesSubplot:xlabel='LSTAT', ylabel='DIS'>],\n",
       "       [<AxesSubplot:xlabel='MEDV', ylabel='CHAS'>,\n",
       "        <AxesSubplot:xlabel='RM', ylabel='CHAS'>,\n",
       "        <AxesSubplot:xlabel='ZN', ylabel='CHAS'>,\n",
       "        <AxesSubplot:xlabel='B', ylabel='CHAS'>,\n",
       "        <AxesSubplot:xlabel='DIS', ylabel='CHAS'>,\n",
       "        <AxesSubplot:xlabel='CHAS', ylabel='CHAS'>,\n",
       "        <AxesSubplot:xlabel='AGE', ylabel='CHAS'>,\n",
       "        <AxesSubplot:xlabel='RAD', ylabel='CHAS'>,\n",
       "        <AxesSubplot:xlabel='CRIM', ylabel='CHAS'>,\n",
       "        <AxesSubplot:xlabel='NOX', ylabel='CHAS'>,\n",
       "        <AxesSubplot:xlabel='TAX', ylabel='CHAS'>,\n",
       "        <AxesSubplot:xlabel='INDUS', ylabel='CHAS'>,\n",
       "        <AxesSubplot:xlabel='PTRATIO', ylabel='CHAS'>,\n",
       "        <AxesSubplot:xlabel='LSTAT', ylabel='CHAS'>],\n",
       "       [<AxesSubplot:xlabel='MEDV', ylabel='AGE'>,\n",
       "        <AxesSubplot:xlabel='RM', ylabel='AGE'>,\n",
       "        <AxesSubplot:xlabel='ZN', ylabel='AGE'>,\n",
       "        <AxesSubplot:xlabel='B', ylabel='AGE'>,\n",
       "        <AxesSubplot:xlabel='DIS', ylabel='AGE'>,\n",
       "        <AxesSubplot:xlabel='CHAS', ylabel='AGE'>,\n",
       "        <AxesSubplot:xlabel='AGE', ylabel='AGE'>,\n",
       "        <AxesSubplot:xlabel='RAD', ylabel='AGE'>,\n",
       "        <AxesSubplot:xlabel='CRIM', ylabel='AGE'>,\n",
       "        <AxesSubplot:xlabel='NOX', ylabel='AGE'>,\n",
       "        <AxesSubplot:xlabel='TAX', ylabel='AGE'>,\n",
       "        <AxesSubplot:xlabel='INDUS', ylabel='AGE'>,\n",
       "        <AxesSubplot:xlabel='PTRATIO', ylabel='AGE'>,\n",
       "        <AxesSubplot:xlabel='LSTAT', ylabel='AGE'>],\n",
       "       [<AxesSubplot:xlabel='MEDV', ylabel='RAD'>,\n",
       "        <AxesSubplot:xlabel='RM', ylabel='RAD'>,\n",
       "        <AxesSubplot:xlabel='ZN', ylabel='RAD'>,\n",
       "        <AxesSubplot:xlabel='B', ylabel='RAD'>,\n",
       "        <AxesSubplot:xlabel='DIS', ylabel='RAD'>,\n",
       "        <AxesSubplot:xlabel='CHAS', ylabel='RAD'>,\n",
       "        <AxesSubplot:xlabel='AGE', ylabel='RAD'>,\n",
       "        <AxesSubplot:xlabel='RAD', ylabel='RAD'>,\n",
       "        <AxesSubplot:xlabel='CRIM', ylabel='RAD'>,\n",
       "        <AxesSubplot:xlabel='NOX', ylabel='RAD'>,\n",
       "        <AxesSubplot:xlabel='TAX', ylabel='RAD'>,\n",
       "        <AxesSubplot:xlabel='INDUS', ylabel='RAD'>,\n",
       "        <AxesSubplot:xlabel='PTRATIO', ylabel='RAD'>,\n",
       "        <AxesSubplot:xlabel='LSTAT', ylabel='RAD'>],\n",
       "       [<AxesSubplot:xlabel='MEDV', ylabel='CRIM'>,\n",
       "        <AxesSubplot:xlabel='RM', ylabel='CRIM'>,\n",
       "        <AxesSubplot:xlabel='ZN', ylabel='CRIM'>,\n",
       "        <AxesSubplot:xlabel='B', ylabel='CRIM'>,\n",
       "        <AxesSubplot:xlabel='DIS', ylabel='CRIM'>,\n",
       "        <AxesSubplot:xlabel='CHAS', ylabel='CRIM'>,\n",
       "        <AxesSubplot:xlabel='AGE', ylabel='CRIM'>,\n",
       "        <AxesSubplot:xlabel='RAD', ylabel='CRIM'>,\n",
       "        <AxesSubplot:xlabel='CRIM', ylabel='CRIM'>,\n",
       "        <AxesSubplot:xlabel='NOX', ylabel='CRIM'>,\n",
       "        <AxesSubplot:xlabel='TAX', ylabel='CRIM'>,\n",
       "        <AxesSubplot:xlabel='INDUS', ylabel='CRIM'>,\n",
       "        <AxesSubplot:xlabel='PTRATIO', ylabel='CRIM'>,\n",
       "        <AxesSubplot:xlabel='LSTAT', ylabel='CRIM'>],\n",
       "       [<AxesSubplot:xlabel='MEDV', ylabel='NOX'>,\n",
       "        <AxesSubplot:xlabel='RM', ylabel='NOX'>,\n",
       "        <AxesSubplot:xlabel='ZN', ylabel='NOX'>,\n",
       "        <AxesSubplot:xlabel='B', ylabel='NOX'>,\n",
       "        <AxesSubplot:xlabel='DIS', ylabel='NOX'>,\n",
       "        <AxesSubplot:xlabel='CHAS', ylabel='NOX'>,\n",
       "        <AxesSubplot:xlabel='AGE', ylabel='NOX'>,\n",
       "        <AxesSubplot:xlabel='RAD', ylabel='NOX'>,\n",
       "        <AxesSubplot:xlabel='CRIM', ylabel='NOX'>,\n",
       "        <AxesSubplot:xlabel='NOX', ylabel='NOX'>,\n",
       "        <AxesSubplot:xlabel='TAX', ylabel='NOX'>,\n",
       "        <AxesSubplot:xlabel='INDUS', ylabel='NOX'>,\n",
       "        <AxesSubplot:xlabel='PTRATIO', ylabel='NOX'>,\n",
       "        <AxesSubplot:xlabel='LSTAT', ylabel='NOX'>],\n",
       "       [<AxesSubplot:xlabel='MEDV', ylabel='TAX'>,\n",
       "        <AxesSubplot:xlabel='RM', ylabel='TAX'>,\n",
       "        <AxesSubplot:xlabel='ZN', ylabel='TAX'>,\n",
       "        <AxesSubplot:xlabel='B', ylabel='TAX'>,\n",
       "        <AxesSubplot:xlabel='DIS', ylabel='TAX'>,\n",
       "        <AxesSubplot:xlabel='CHAS', ylabel='TAX'>,\n",
       "        <AxesSubplot:xlabel='AGE', ylabel='TAX'>,\n",
       "        <AxesSubplot:xlabel='RAD', ylabel='TAX'>,\n",
       "        <AxesSubplot:xlabel='CRIM', ylabel='TAX'>,\n",
       "        <AxesSubplot:xlabel='NOX', ylabel='TAX'>,\n",
       "        <AxesSubplot:xlabel='TAX', ylabel='TAX'>,\n",
       "        <AxesSubplot:xlabel='INDUS', ylabel='TAX'>,\n",
       "        <AxesSubplot:xlabel='PTRATIO', ylabel='TAX'>,\n",
       "        <AxesSubplot:xlabel='LSTAT', ylabel='TAX'>],\n",
       "       [<AxesSubplot:xlabel='MEDV', ylabel='INDUS'>,\n",
       "        <AxesSubplot:xlabel='RM', ylabel='INDUS'>,\n",
       "        <AxesSubplot:xlabel='ZN', ylabel='INDUS'>,\n",
       "        <AxesSubplot:xlabel='B', ylabel='INDUS'>,\n",
       "        <AxesSubplot:xlabel='DIS', ylabel='INDUS'>,\n",
       "        <AxesSubplot:xlabel='CHAS', ylabel='INDUS'>,\n",
       "        <AxesSubplot:xlabel='AGE', ylabel='INDUS'>,\n",
       "        <AxesSubplot:xlabel='RAD', ylabel='INDUS'>,\n",
       "        <AxesSubplot:xlabel='CRIM', ylabel='INDUS'>,\n",
       "        <AxesSubplot:xlabel='NOX', ylabel='INDUS'>,\n",
       "        <AxesSubplot:xlabel='TAX', ylabel='INDUS'>,\n",
       "        <AxesSubplot:xlabel='INDUS', ylabel='INDUS'>,\n",
       "        <AxesSubplot:xlabel='PTRATIO', ylabel='INDUS'>,\n",
       "        <AxesSubplot:xlabel='LSTAT', ylabel='INDUS'>],\n",
       "       [<AxesSubplot:xlabel='MEDV', ylabel='PTRATIO'>,\n",
       "        <AxesSubplot:xlabel='RM', ylabel='PTRATIO'>,\n",
       "        <AxesSubplot:xlabel='ZN', ylabel='PTRATIO'>,\n",
       "        <AxesSubplot:xlabel='B', ylabel='PTRATIO'>,\n",
       "        <AxesSubplot:xlabel='DIS', ylabel='PTRATIO'>,\n",
       "        <AxesSubplot:xlabel='CHAS', ylabel='PTRATIO'>,\n",
       "        <AxesSubplot:xlabel='AGE', ylabel='PTRATIO'>,\n",
       "        <AxesSubplot:xlabel='RAD', ylabel='PTRATIO'>,\n",
       "        <AxesSubplot:xlabel='CRIM', ylabel='PTRATIO'>,\n",
       "        <AxesSubplot:xlabel='NOX', ylabel='PTRATIO'>,\n",
       "        <AxesSubplot:xlabel='TAX', ylabel='PTRATIO'>,\n",
       "        <AxesSubplot:xlabel='INDUS', ylabel='PTRATIO'>,\n",
       "        <AxesSubplot:xlabel='PTRATIO', ylabel='PTRATIO'>,\n",
       "        <AxesSubplot:xlabel='LSTAT', ylabel='PTRATIO'>],\n",
       "       [<AxesSubplot:xlabel='MEDV', ylabel='LSTAT'>,\n",
       "        <AxesSubplot:xlabel='RM', ylabel='LSTAT'>,\n",
       "        <AxesSubplot:xlabel='ZN', ylabel='LSTAT'>,\n",
       "        <AxesSubplot:xlabel='B', ylabel='LSTAT'>,\n",
       "        <AxesSubplot:xlabel='DIS', ylabel='LSTAT'>,\n",
       "        <AxesSubplot:xlabel='CHAS', ylabel='LSTAT'>,\n",
       "        <AxesSubplot:xlabel='AGE', ylabel='LSTAT'>,\n",
       "        <AxesSubplot:xlabel='RAD', ylabel='LSTAT'>,\n",
       "        <AxesSubplot:xlabel='CRIM', ylabel='LSTAT'>,\n",
       "        <AxesSubplot:xlabel='NOX', ylabel='LSTAT'>,\n",
       "        <AxesSubplot:xlabel='TAX', ylabel='LSTAT'>,\n",
       "        <AxesSubplot:xlabel='INDUS', ylabel='LSTAT'>,\n",
       "        <AxesSubplot:xlabel='PTRATIO', ylabel='LSTAT'>,\n",
       "        <AxesSubplot:xlabel='LSTAT', ylabel='LSTAT'>]], dtype=object)"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 196 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.plotting import scatter_matrix\n",
    "attributes = [\"MEDV\", \"RM\", \"ZN\", \"B\", \"DIS\", \"CHAS\", \"AGE\", \"RAD\", \"CRIM\", \"NOX\", \"TAX\", \"INDUS\", \"PTRATIO\", \"LSTAT\"]\n",
    "scatter_matrix(housing[attributes], figsize = (20,10))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='RM', ylabel='MEDV'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing.plot(kind=\"scatter\", x=\"RM\", y=\"MEDV\", alpha=0.8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Trying out Attribute Combinations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing[\"TAXRM\"] = housing['TAX']/housing['RM']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "254     51.571709\n",
       "348     42.200452\n",
       "476    102.714374\n",
       "321     45.012547\n",
       "326     45.468948\n",
       "          ...    \n",
       "155     65.507152\n",
       "423    109.126659\n",
       "98      35.294118\n",
       "455    102.068966\n",
       "216     46.875000\n",
       "Name: TAXRM, Length: 404, dtype: float64"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing[\"TAXRM\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>MEDV</th>\n",
       "      <th>TAXRM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>254</th>\n",
       "      <td>0.04819</td>\n",
       "      <td>80.0</td>\n",
       "      <td>3.64</td>\n",
       "      <td>0</td>\n",
       "      <td>0.392</td>\n",
       "      <td>6.108</td>\n",
       "      <td>32.0</td>\n",
       "      <td>9.2203</td>\n",
       "      <td>1</td>\n",
       "      <td>315</td>\n",
       "      <td>16.4</td>\n",
       "      <td>392.89</td>\n",
       "      <td>6.57</td>\n",
       "      <td>21.9</td>\n",
       "      <td>51.571709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>348</th>\n",
       "      <td>0.01501</td>\n",
       "      <td>80.0</td>\n",
       "      <td>2.01</td>\n",
       "      <td>0</td>\n",
       "      <td>0.435</td>\n",
       "      <td>6.635</td>\n",
       "      <td>29.7</td>\n",
       "      <td>8.3440</td>\n",
       "      <td>4</td>\n",
       "      <td>280</td>\n",
       "      <td>17.0</td>\n",
       "      <td>390.94</td>\n",
       "      <td>5.99</td>\n",
       "      <td>24.5</td>\n",
       "      <td>42.200452</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>4.87141</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.614</td>\n",
       "      <td>6.484</td>\n",
       "      <td>93.6</td>\n",
       "      <td>2.3053</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>396.21</td>\n",
       "      <td>18.68</td>\n",
       "      <td>16.7</td>\n",
       "      <td>102.714374</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>321</th>\n",
       "      <td>0.18159</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.38</td>\n",
       "      <td>0</td>\n",
       "      <td>0.493</td>\n",
       "      <td>6.376</td>\n",
       "      <td>54.3</td>\n",
       "      <td>4.5404</td>\n",
       "      <td>5</td>\n",
       "      <td>287</td>\n",
       "      <td>19.6</td>\n",
       "      <td>396.90</td>\n",
       "      <td>6.87</td>\n",
       "      <td>23.1</td>\n",
       "      <td>45.012547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>0.30347</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.38</td>\n",
       "      <td>0</td>\n",
       "      <td>0.493</td>\n",
       "      <td>6.312</td>\n",
       "      <td>28.9</td>\n",
       "      <td>5.4159</td>\n",
       "      <td>5</td>\n",
       "      <td>287</td>\n",
       "      <td>19.6</td>\n",
       "      <td>396.90</td>\n",
       "      <td>6.15</td>\n",
       "      <td>23.0</td>\n",
       "      <td>45.468948</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD  TAX  \\\n",
       "254  0.04819  80.0   3.64     0  0.392  6.108  32.0  9.2203    1  315   \n",
       "348  0.01501  80.0   2.01     0  0.435  6.635  29.7  8.3440    4  280   \n",
       "476  4.87141   0.0  18.10     0  0.614  6.484  93.6  2.3053   24  666   \n",
       "321  0.18159   0.0   7.38     0  0.493  6.376  54.3  4.5404    5  287   \n",
       "326  0.30347   0.0   7.38     0  0.493  6.312  28.9  5.4159    5  287   \n",
       "\n",
       "     PTRATIO       B  LSTAT  MEDV       TAXRM  \n",
       "254     16.4  392.89   6.57  21.9   51.571709  \n",
       "348     17.0  390.94   5.99  24.5   42.200452  \n",
       "476     20.2  396.21  18.68  16.7  102.714374  \n",
       "321     19.6  396.90   6.87  23.1   45.012547  \n",
       "326     19.6  396.90   6.15  23.0   45.468948  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MEDV       1.000000\n",
       "RM         0.680857\n",
       "B          0.361761\n",
       "ZN         0.339741\n",
       "DIS        0.240451\n",
       "CHAS       0.205066\n",
       "AGE       -0.364596\n",
       "RAD       -0.374693\n",
       "CRIM      -0.393715\n",
       "NOX       -0.422873\n",
       "TAX       -0.456657\n",
       "INDUS     -0.473516\n",
       "PTRATIO   -0.493534\n",
       "TAXRM     -0.528626\n",
       "LSTAT     -0.740494\n",
       "Name: MEDV, dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corr_matrix = housing.corr()\n",
    "corr_matrix['MEDV'].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='TAXRM', ylabel='MEDV'>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "housing.plot(kind=\"scatter\", x=\"TAXRM\", y=\"MEDV\", alpha=0.8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Missing Attributes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "# To take care missing attributes, we have three opction\n",
    "#    1. Get rid of the missing data points\n",
    "#    2. Get rid of the whole attributes\n",
    "#    3. Set the value to some value(0, mean or median)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Opction 1 -- Get rid of the missing data points***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>MEDV</th>\n",
       "      <th>TAXRM</th>\n",
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       "      <th>254</th>\n",
       "      <td>0.04819</td>\n",
       "      <td>80.0</td>\n",
       "      <td>3.64</td>\n",
       "      <td>0</td>\n",
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       "      <td>6.108</td>\n",
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       "      <td>6.57</td>\n",
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       "      <th>348</th>\n",
       "      <td>0.01501</td>\n",
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       "      <td>2.01</td>\n",
       "      <td>0</td>\n",
       "      <td>0.435</td>\n",
       "      <td>6.635</td>\n",
       "      <td>29.7</td>\n",
       "      <td>8.3440</td>\n",
       "      <td>4</td>\n",
       "      <td>280</td>\n",
       "      <td>17.0</td>\n",
       "      <td>390.94</td>\n",
       "      <td>5.99</td>\n",
       "      <td>24.5</td>\n",
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       "    <tr>\n",
       "      <th>476</th>\n",
       "      <td>4.87141</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.614</td>\n",
       "      <td>6.484</td>\n",
       "      <td>93.6</td>\n",
       "      <td>2.3053</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>396.21</td>\n",
       "      <td>18.68</td>\n",
       "      <td>16.7</td>\n",
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       "      <th>321</th>\n",
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       "      <td>7.38</td>\n",
       "      <td>0</td>\n",
       "      <td>0.493</td>\n",
       "      <td>6.376</td>\n",
       "      <td>54.3</td>\n",
       "      <td>4.5404</td>\n",
       "      <td>5</td>\n",
       "      <td>287</td>\n",
       "      <td>19.6</td>\n",
       "      <td>396.90</td>\n",
       "      <td>6.87</td>\n",
       "      <td>23.1</td>\n",
       "      <td>45.012547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>326</th>\n",
       "      <td>0.30347</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.38</td>\n",
       "      <td>0</td>\n",
       "      <td>0.493</td>\n",
       "      <td>6.312</td>\n",
       "      <td>28.9</td>\n",
       "      <td>5.4159</td>\n",
       "      <td>5</td>\n",
       "      <td>287</td>\n",
       "      <td>19.6</td>\n",
       "      <td>396.90</td>\n",
       "      <td>6.15</td>\n",
       "      <td>23.0</td>\n",
       "      <td>45.468948</td>\n",
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       "      <th>...</th>\n",
       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>3.53501</td>\n",
       "      <td>0.0</td>\n",
       "      <td>19.58</td>\n",
       "      <td>1</td>\n",
       "      <td>0.871</td>\n",
       "      <td>6.152</td>\n",
       "      <td>82.6</td>\n",
       "      <td>1.7455</td>\n",
       "      <td>5</td>\n",
       "      <td>403</td>\n",
       "      <td>14.7</td>\n",
       "      <td>88.01</td>\n",
       "      <td>15.02</td>\n",
       "      <td>15.6</td>\n",
       "      <td>65.507152</td>\n",
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       "    <tr>\n",
       "      <th>423</th>\n",
       "      <td>7.05042</td>\n",
       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.614</td>\n",
       "      <td>6.103</td>\n",
       "      <td>85.1</td>\n",
       "      <td>2.0218</td>\n",
       "      <td>24</td>\n",
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       "      <td>23.29</td>\n",
       "      <td>13.4</td>\n",
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       "    <tr>\n",
       "      <th>98</th>\n",
       "      <td>0.08187</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.89</td>\n",
       "      <td>0</td>\n",
       "      <td>0.445</td>\n",
       "      <td>7.820</td>\n",
       "      <td>36.9</td>\n",
       "      <td>3.4952</td>\n",
       "      <td>2</td>\n",
       "      <td>276</td>\n",
       "      <td>18.0</td>\n",
       "      <td>393.53</td>\n",
       "      <td>3.57</td>\n",
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       "      <th>455</th>\n",
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       "      <td>0.0</td>\n",
       "      <td>18.10</td>\n",
       "      <td>0</td>\n",
       "      <td>0.713</td>\n",
       "      <td>6.525</td>\n",
       "      <td>86.5</td>\n",
       "      <td>2.4358</td>\n",
       "      <td>24</td>\n",
       "      <td>666</td>\n",
       "      <td>20.2</td>\n",
       "      <td>50.92</td>\n",
       "      <td>18.13</td>\n",
       "      <td>14.1</td>\n",
       "      <td>102.068966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>0.04560</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.89</td>\n",
       "      <td>1</td>\n",
       "      <td>0.550</td>\n",
       "      <td>5.888</td>\n",
       "      <td>56.0</td>\n",
       "      <td>3.1121</td>\n",
       "      <td>5</td>\n",
       "      <td>276</td>\n",
       "      <td>16.4</td>\n",
       "      <td>392.80</td>\n",
       "      <td>13.51</td>\n",
       "      <td>23.3</td>\n",
       "      <td>46.875000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>399 rows × 15 columns</p>\n",
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      ],
      "text/plain": [
       "        CRIM    ZN  INDUS  CHAS    NOX     RM   AGE     DIS  RAD  TAX  \\\n",
       "254  0.04819  80.0   3.64     0  0.392  6.108  32.0  9.2203    1  315   \n",
       "348  0.01501  80.0   2.01     0  0.435  6.635  29.7  8.3440    4  280   \n",
       "476  4.87141   0.0  18.10     0  0.614  6.484  93.6  2.3053   24  666   \n",
       "321  0.18159   0.0   7.38     0  0.493  6.376  54.3  4.5404    5  287   \n",
       "326  0.30347   0.0   7.38     0  0.493  6.312  28.9  5.4159    5  287   \n",
       "..       ...   ...    ...   ...    ...    ...   ...     ...  ...  ...   \n",
       "155  3.53501   0.0  19.58     1  0.871  6.152  82.6  1.7455    5  403   \n",
       "423  7.05042   0.0  18.10     0  0.614  6.103  85.1  2.0218   24  666   \n",
       "98   0.08187   0.0   2.89     0  0.445  7.820  36.9  3.4952    2  276   \n",
       "455  4.75237   0.0  18.10     0  0.713  6.525  86.5  2.4358   24  666   \n",
       "216  0.04560   0.0  13.89     1  0.550  5.888  56.0  3.1121    5  276   \n",
       "\n",
       "     PTRATIO       B  LSTAT  MEDV       TAXRM  \n",
       "254     16.4  392.89   6.57  21.9   51.571709  \n",
       "348     17.0  390.94   5.99  24.5   42.200452  \n",
       "476     20.2  396.21  18.68  16.7  102.714374  \n",
       "321     19.6  396.90   6.87  23.1   45.012547  \n",
       "326     19.6  396.90   6.15  23.0   45.468948  \n",
       "..       ...     ...    ...   ...         ...  \n",
       "155     14.7   88.01  15.02  15.6   65.507152  \n",
       "423     20.2    2.52  23.29  13.4  109.126659  \n",
       "98      18.0  393.53   3.57  43.8   35.294118  \n",
       "455     20.2   50.92  18.13  14.1  102.068966  \n",
       "216     16.4  392.80  13.51  23.3   46.875000  \n",
       "\n",
       "[399 rows x 15 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.dropna(subset=[\"RM\"]) # Opction 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(404, 15)"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(399, 15)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = housing.dropna(subset=[\"RM\"])\n",
    "a.shape\n",
    "# Note: original housing dataframe will remain unchanged"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Opction 2 -- Get rid of the whole attributes***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>50.92</td>\n",
       "      <td>18.13</td>\n",
       "      <td>14.1</td>\n",
       "      <td>102.068966</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>216</th>\n",
       "      <td>0.04560</td>\n",
       "      <td>0.0</td>\n",
       "      <td>13.89</td>\n",
       "      <td>1</td>\n",
       "      <td>0.550</td>\n",
       "      <td>56.0</td>\n",
       "      <td>3.1121</td>\n",
       "      <td>5</td>\n",
       "      <td>276</td>\n",
       "      <td>16.4</td>\n",
       "      <td>392.80</td>\n",
       "      <td>13.51</td>\n",
       "      <td>23.3</td>\n",
       "      <td>46.875000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>404 rows × 14 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        CRIM    ZN  INDUS  CHAS    NOX   AGE     DIS  RAD  TAX  PTRATIO  \\\n",
       "254  0.04819  80.0   3.64     0  0.392  32.0  9.2203    1  315     16.4   \n",
       "348  0.01501  80.0   2.01     0  0.435  29.7  8.3440    4  280     17.0   \n",
       "476  4.87141   0.0  18.10     0  0.614  93.6  2.3053   24  666     20.2   \n",
       "321  0.18159   0.0   7.38     0  0.493  54.3  4.5404    5  287     19.6   \n",
       "326  0.30347   0.0   7.38     0  0.493  28.9  5.4159    5  287     19.6   \n",
       "..       ...   ...    ...   ...    ...   ...     ...  ...  ...      ...   \n",
       "155  3.53501   0.0  19.58     1  0.871  82.6  1.7455    5  403     14.7   \n",
       "423  7.05042   0.0  18.10     0  0.614  85.1  2.0218   24  666     20.2   \n",
       "98   0.08187   0.0   2.89     0  0.445  36.9  3.4952    2  276     18.0   \n",
       "455  4.75237   0.0  18.10     0  0.713  86.5  2.4358   24  666     20.2   \n",
       "216  0.04560   0.0  13.89     1  0.550  56.0  3.1121    5  276     16.4   \n",
       "\n",
       "          B  LSTAT  MEDV       TAXRM  \n",
       "254  392.89   6.57  21.9   51.571709  \n",
       "348  390.94   5.99  24.5   42.200452  \n",
       "476  396.21  18.68  16.7  102.714374  \n",
       "321  396.90   6.87  23.1   45.012547  \n",
       "326  396.90   6.15  23.0   45.468948  \n",
       "..      ...    ...   ...         ...  \n",
       "155   88.01  15.02  15.6   65.507152  \n",
       "423    2.52  23.29  13.4  109.126659  \n",
       "98   393.53   3.57  43.8   35.294118  \n",
       "455   50.92  18.13  14.1  102.068966  \n",
       "216  392.80  13.51  23.3   46.875000  \n",
       "\n",
       "[404 rows x 14 columns]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.drop(\"RM\", axis = 1) # Opction 2\n",
    "# Note: There is no RM Column and also note that original housing dataframe will remain unchanged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(404, 14)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.drop(\"RM\", axis = 1).shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Opction 3 -- Set the value to some value(0, mean or median)***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "median = housing[\"RM\"].median() # Opction 3 (Compute median)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "6.209"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "median"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "254    6.108\n",
       "348    6.635\n",
       "476    6.484\n",
       "321    6.376\n",
       "326    6.312\n",
       "       ...  \n",
       "155    6.152\n",
       "423    6.103\n",
       "98     7.820\n",
       "455    6.525\n",
       "216    5.888\n",
       "Name: RM, Length: 404, dtype: float64"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing[\"RM\"].fillna(median)\n",
    "# Note: original housing dataframe will remain unchanged"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(404, 15)"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>MEDV</th>\n",
       "      <th>TAXRM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>399.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>399.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.602814</td>\n",
       "      <td>10.836634</td>\n",
       "      <td>11.344950</td>\n",
       "      <td>0.069307</td>\n",
       "      <td>0.558064</td>\n",
       "      <td>6.279481</td>\n",
       "      <td>69.039851</td>\n",
       "      <td>3.746210</td>\n",
       "      <td>9.735149</td>\n",
       "      <td>412.341584</td>\n",
       "      <td>18.473267</td>\n",
       "      <td>353.392822</td>\n",
       "      <td>12.791609</td>\n",
       "      <td>22.509406</td>\n",
       "      <td>67.696004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.099383</td>\n",
       "      <td>22.150636</td>\n",
       "      <td>6.877817</td>\n",
       "      <td>0.254290</td>\n",
       "      <td>0.116875</td>\n",
       "      <td>0.716784</td>\n",
       "      <td>28.258248</td>\n",
       "      <td>2.099057</td>\n",
       "      <td>8.731259</td>\n",
       "      <td>168.672623</td>\n",
       "      <td>2.129243</td>\n",
       "      <td>96.069235</td>\n",
       "      <td>7.235740</td>\n",
       "      <td>9.385531</td>\n",
       "      <td>31.577122</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.006320</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.740000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.389000</td>\n",
       "      <td>3.561000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>1.129600</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.320000</td>\n",
       "      <td>1.730000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>24.645639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.086962</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.190000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.453000</td>\n",
       "      <td>5.876500</td>\n",
       "      <td>44.850000</td>\n",
       "      <td>2.035975</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>284.000000</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>374.617500</td>\n",
       "      <td>6.847500</td>\n",
       "      <td>16.600000</td>\n",
       "      <td>44.910026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.286735</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.900000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.538000</td>\n",
       "      <td>6.209000</td>\n",
       "      <td>78.200000</td>\n",
       "      <td>3.122200</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>337.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>390.955000</td>\n",
       "      <td>11.570000</td>\n",
       "      <td>21.150000</td>\n",
       "      <td>54.831220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.731923</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>18.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.631000</td>\n",
       "      <td>6.630500</td>\n",
       "      <td>94.100000</td>\n",
       "      <td>5.100400</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>666.000000</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>395.630000</td>\n",
       "      <td>17.102500</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>98.673976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>73.534100</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.740000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.871000</td>\n",
       "      <td>8.780000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>12.126500</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>711.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>396.900000</td>\n",
       "      <td>36.980000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>187.026116</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             CRIM          ZN       INDUS        CHAS         NOX          RM  \\\n",
       "count  404.000000  404.000000  404.000000  404.000000  404.000000  399.000000   \n",
       "mean     3.602814   10.836634   11.344950    0.069307    0.558064    6.279481   \n",
       "std      8.099383   22.150636    6.877817    0.254290    0.116875    0.716784   \n",
       "min      0.006320    0.000000    0.740000    0.000000    0.389000    3.561000   \n",
       "25%      0.086962    0.000000    5.190000    0.000000    0.453000    5.876500   \n",
       "50%      0.286735    0.000000    9.900000    0.000000    0.538000    6.209000   \n",
       "75%      3.731923   12.500000   18.100000    0.000000    0.631000    6.630500   \n",
       "max     73.534100  100.000000   27.740000    1.000000    0.871000    8.780000   \n",
       "\n",
       "              AGE         DIS         RAD         TAX     PTRATIO           B  \\\n",
       "count  404.000000  404.000000  404.000000  404.000000  404.000000  404.000000   \n",
       "mean    69.039851    3.746210    9.735149  412.341584   18.473267  353.392822   \n",
       "std     28.258248    2.099057    8.731259  168.672623    2.129243   96.069235   \n",
       "min      2.900000    1.129600    1.000000  187.000000   13.000000    0.320000   \n",
       "25%     44.850000    2.035975    4.000000  284.000000   17.400000  374.617500   \n",
       "50%     78.200000    3.122200    5.000000  337.000000   19.000000  390.955000   \n",
       "75%     94.100000    5.100400   24.000000  666.000000   20.200000  395.630000   \n",
       "max    100.000000   12.126500   24.000000  711.000000   22.000000  396.900000   \n",
       "\n",
       "            LSTAT        MEDV       TAXRM  \n",
       "count  404.000000  404.000000  399.000000  \n",
       "mean    12.791609   22.509406   67.696004  \n",
       "std      7.235740    9.385531   31.577122  \n",
       "min      1.730000    5.000000   24.645639  \n",
       "25%      6.847500   16.600000   44.910026  \n",
       "50%     11.570000   21.150000   54.831220  \n",
       "75%     17.102500   25.000000   98.673976  \n",
       "max     36.980000   50.000000  187.026116  "
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing.describe() # before we started filling missing attributes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***Impute***"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "SimpleImputer(strategy='median')"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.impute import SimpleImputer\n",
    "imputer = SimpleImputer(strategy = \"median\")\n",
    "imputer.fit(housing)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([2.86735000e-01, 0.00000000e+00, 9.90000000e+00, 0.00000000e+00,\n",
       "       5.38000000e-01, 6.20900000e+00, 7.82000000e+01, 3.12220000e+00,\n",
       "       5.00000000e+00, 3.37000000e+02, 1.90000000e+01, 3.90955000e+02,\n",
       "       1.15700000e+01, 2.11500000e+01, 5.48312199e+01])"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imputer.statistics_"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(15,)"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "imputer.statistics_.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "x = imputer.transform(housing)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "housing_tr = pd.DataFrame(x, columns = housing.columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CRIM</th>\n",
       "      <th>ZN</th>\n",
       "      <th>INDUS</th>\n",
       "      <th>CHAS</th>\n",
       "      <th>NOX</th>\n",
       "      <th>RM</th>\n",
       "      <th>AGE</th>\n",
       "      <th>DIS</th>\n",
       "      <th>RAD</th>\n",
       "      <th>TAX</th>\n",
       "      <th>PTRATIO</th>\n",
       "      <th>B</th>\n",
       "      <th>LSTAT</th>\n",
       "      <th>MEDV</th>\n",
       "      <th>TAXRM</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "      <td>404.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.602814</td>\n",
       "      <td>10.836634</td>\n",
       "      <td>11.344950</td>\n",
       "      <td>0.069307</td>\n",
       "      <td>0.558064</td>\n",
       "      <td>6.278609</td>\n",
       "      <td>69.039851</td>\n",
       "      <td>3.746210</td>\n",
       "      <td>9.735149</td>\n",
       "      <td>412.341584</td>\n",
       "      <td>18.473267</td>\n",
       "      <td>353.392822</td>\n",
       "      <td>12.791609</td>\n",
       "      <td>22.509406</td>\n",
       "      <td>67.536786</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.099383</td>\n",
       "      <td>22.150636</td>\n",
       "      <td>6.877817</td>\n",
       "      <td>0.254290</td>\n",
       "      <td>0.116875</td>\n",
       "      <td>0.712366</td>\n",
       "      <td>28.258248</td>\n",
       "      <td>2.099057</td>\n",
       "      <td>8.731259</td>\n",
       "      <td>168.672623</td>\n",
       "      <td>2.129243</td>\n",
       "      <td>96.069235</td>\n",
       "      <td>7.235740</td>\n",
       "      <td>9.385531</td>\n",
       "      <td>31.412918</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.006320</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.740000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.389000</td>\n",
       "      <td>3.561000</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>1.129600</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>187.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>0.320000</td>\n",
       "      <td>1.730000</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>24.645639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.086962</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>5.190000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.453000</td>\n",
       "      <td>5.878750</td>\n",
       "      <td>44.850000</td>\n",
       "      <td>2.035975</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>284.000000</td>\n",
       "      <td>17.400000</td>\n",
       "      <td>374.617500</td>\n",
       "      <td>6.847500</td>\n",
       "      <td>16.600000</td>\n",
       "      <td>45.017395</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.286735</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.900000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.538000</td>\n",
       "      <td>6.209000</td>\n",
       "      <td>78.200000</td>\n",
       "      <td>3.122200</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>337.000000</td>\n",
       "      <td>19.000000</td>\n",
       "      <td>390.955000</td>\n",
       "      <td>11.570000</td>\n",
       "      <td>21.150000</td>\n",
       "      <td>54.831220</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.731923</td>\n",
       "      <td>12.500000</td>\n",
       "      <td>18.100000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.631000</td>\n",
       "      <td>6.630000</td>\n",
       "      <td>94.100000</td>\n",
       "      <td>5.100400</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>666.000000</td>\n",
       "      <td>20.200000</td>\n",
       "      <td>395.630000</td>\n",
       "      <td>17.102500</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>98.317507</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>73.534100</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>27.740000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.871000</td>\n",
       "      <td>8.780000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>12.126500</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>711.000000</td>\n",
       "      <td>22.000000</td>\n",
       "      <td>396.900000</td>\n",
       "      <td>36.980000</td>\n",
       "      <td>50.000000</td>\n",
       "      <td>187.026116</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             CRIM          ZN       INDUS        CHAS         NOX          RM  \\\n",
       "count  404.000000  404.000000  404.000000  404.000000  404.000000  404.000000   \n",
       "mean     3.602814   10.836634   11.344950    0.069307    0.558064    6.278609   \n",
       "std      8.099383   22.150636    6.877817    0.254290    0.116875    0.712366   \n",
       "min      0.006320    0.000000    0.740000    0.000000    0.389000    3.561000   \n",
       "25%      0.086962    0.000000    5.190000    0.000000    0.453000    5.878750   \n",
       "50%      0.286735    0.000000    9.900000    0.000000    0.538000    6.209000   \n",
       "75%      3.731923   12.500000   18.100000    0.000000    0.631000    6.630000   \n",
       "max     73.534100  100.000000   27.740000    1.000000    0.871000    8.780000   \n",
       "\n",
       "              AGE         DIS         RAD         TAX     PTRATIO           B  \\\n",
       "count  404.000000  404.000000  404.000000  404.000000  404.000000  404.000000   \n",
       "mean    69.039851    3.746210    9.735149  412.341584   18.473267  353.392822   \n",
       "std     28.258248    2.099057    8.731259  168.672623    2.129243   96.069235   \n",
       "min      2.900000    1.129600    1.000000  187.000000   13.000000    0.320000   \n",
       "25%     44.850000    2.035975    4.000000  284.000000   17.400000  374.617500   \n",
       "50%     78.200000    3.122200    5.000000  337.000000   19.000000  390.955000   \n",
       "75%     94.100000    5.100400   24.000000  666.000000   20.200000  395.630000   \n",
       "max    100.000000   12.126500   24.000000  711.000000   22.000000  396.900000   \n",
       "\n",
       "            LSTAT        MEDV       TAXRM  \n",
       "count  404.000000  404.000000  404.000000  \n",
       "mean    12.791609   22.509406   67.536786  \n",
       "std      7.235740    9.385531   31.412918  \n",
       "min      1.730000    5.000000   24.645639  \n",
       "25%      6.847500   16.600000   45.017395  \n",
       "50%     11.570000   21.150000   54.831220  \n",
       "75%     17.102500   25.000000   98.317507  \n",
       "max     36.980000   50.000000  187.026116  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "housing_tr.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Scikit-learn Design"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Primarily, three types of object\n",
    "\n",
    "    1. Estimators - it estimates some parameter based on a dataset. Example - Imputer\n",
    "    It has fit method & transform method\n",
    "        a) fit mehod - fits the dataset and calculate internal parameters\n",
    "        b) transform method - \n",
    "        \n",
    "    2. Transformers - transform method takes input and returns output based on the learning from fit(). It also has a convenience function called fit_transform() which fits and then transforms.\n",
    "    \n",
    "    3. Predictors - LinearRegression model is a example of predictor. fit() ana predict() are two common functions. It also gives score() function which will evaluate the predictions."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Creating Pipeline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "form sklearn.pipeline import Pipeline"
   ]
  }
 ],
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