diff --git a/cab_fare.ipynb b/cab_fare.ipynb
index f7acdc3..a7333a4 100644
--- a/cab_fare.ipynb
+++ b/cab_fare.ipynb
@@ -5,7 +5,7 @@
     "colab": {
       "name": "cab_fare",
       "provenance": [],
-      "authorship_tag": "ABX9TyPv+QW/yqWdKp6axJPlIG3H",
+      "authorship_tag": "ABX9TyOG84z5JR94k/FabStHz4LL",
       "include_colab_link": true
     },
     "kernelspec": {
@@ -56,7 +56,7 @@
         "\n",
         "%matplotlib inline"
       ],
-      "execution_count": 412,
+      "execution_count": 5,
       "outputs": []
     },
     {
@@ -69,7 +69,7 @@
       "source": [
         "train  = pd.read_csv(\"train_cab.csv\",na_values={\"pickup_datetime\":\"43\"})"
       ],
-      "execution_count": 413,
+      "execution_count": 6,
       "outputs": []
     },
     {
@@ -81,12 +81,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 609
         },
-        "outputId": "cafc3fc8-636e-4b92-99e5-c89d5922737a"
+        "outputId": "80a315b4-1e01-43a8-85fb-7954cec09df2"
       },
       "source": [
         "train"
       ],
-      "execution_count": 414,
+      "execution_count": 7,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -255,7 +255,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 414
+          "execution_count": 7
         }
       ]
     },
@@ -269,7 +269,7 @@
       "source": [
         "test_data = pd.read_csv('test.csv')"
       ],
-      "execution_count": 415,
+      "execution_count": 8,
       "outputs": []
     },
     {
@@ -281,12 +281,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 589
         },
-        "outputId": "6d28e16a-c458-4e33-b5d5-6592105d8a4f"
+        "outputId": "1e3d40ee-e32c-4902-c786-685726b4f6e3"
       },
       "source": [
         "test_data\n"
       ],
-      "execution_count": 416,
+      "execution_count": 9,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -443,7 +443,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 416
+          "execution_count": 9
         }
       ]
     },
@@ -464,14 +464,14 @@
         "colab_type": "code",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 309
+          "height": 202
         },
-        "outputId": "e33d9ac4-60a7-4157-9b54-9a6f2afaf3c8"
+        "outputId": "60116b9d-d7a0-4ea1-c650-f64cf26e49f9"
       },
       "source": [
-        "train.head() "
+        "train.head(5) "
       ],
-      "execution_count": 417,
+      "execution_count": 95,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -496,84 +496,88 @@
               "    <tr style=\"text-align: right;\">\n",
               "      <th></th>\n",
               "      <th>fare_amount</th>\n",
-              "      <th>pickup_datetime</th>\n",
-              "      <th>pickup_longitude</th>\n",
-              "      <th>pickup_latitude</th>\n",
-              "      <th>dropoff_longitude</th>\n",
-              "      <th>dropoff_latitude</th>\n",
               "      <th>passenger_count</th>\n",
+              "      <th>year</th>\n",
+              "      <th>Month</th>\n",
+              "      <th>Date</th>\n",
+              "      <th>Day</th>\n",
+              "      <th>Hour</th>\n",
+              "      <th>distance</th>\n",
               "    </tr>\n",
               "  </thead>\n",
               "  <tbody>\n",
               "    <tr>\n",
               "      <th>0</th>\n",
               "      <td>4.5</td>\n",
-              "      <td>2009-06-15 17:26:21 UTC</td>\n",
-              "      <td>-73.844311</td>\n",
-              "      <td>40.721319</td>\n",
-              "      <td>-73.841610</td>\n",
-              "      <td>40.712278</td>\n",
-              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2009</td>\n",
+              "      <td>6</td>\n",
+              "      <td>15</td>\n",
+              "      <td>0</td>\n",
+              "      <td>17</td>\n",
+              "      <td>1.030764</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1</th>\n",
               "      <td>16.9</td>\n",
-              "      <td>2010-01-05 16:52:16 UTC</td>\n",
-              "      <td>-74.016048</td>\n",
-              "      <td>40.711303</td>\n",
-              "      <td>-73.979268</td>\n",
-              "      <td>40.782004</td>\n",
-              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2010</td>\n",
+              "      <td>1</td>\n",
+              "      <td>5</td>\n",
+              "      <td>1</td>\n",
+              "      <td>16</td>\n",
+              "      <td>8.450134</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>2</th>\n",
               "      <td>5.7</td>\n",
-              "      <td>2011-08-18 00:35:00 UTC</td>\n",
-              "      <td>-73.982738</td>\n",
-              "      <td>40.761270</td>\n",
-              "      <td>-73.991242</td>\n",
-              "      <td>40.750562</td>\n",
-              "      <td>2.0</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2011</td>\n",
+              "      <td>8</td>\n",
+              "      <td>18</td>\n",
+              "      <td>3</td>\n",
+              "      <td>0</td>\n",
+              "      <td>1.389525</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>3</th>\n",
               "      <td>7.7</td>\n",
-              "      <td>2012-04-21 04:30:42 UTC</td>\n",
-              "      <td>-73.987130</td>\n",
-              "      <td>40.733143</td>\n",
-              "      <td>-73.991567</td>\n",
-              "      <td>40.758092</td>\n",
-              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2012</td>\n",
+              "      <td>4</td>\n",
+              "      <td>21</td>\n",
+              "      <td>5</td>\n",
+              "      <td>4</td>\n",
+              "      <td>2.799270</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>4</th>\n",
               "      <td>5.3</td>\n",
-              "      <td>2010-03-09 07:51:00 UTC</td>\n",
-              "      <td>-73.968095</td>\n",
-              "      <td>40.768008</td>\n",
-              "      <td>-73.956655</td>\n",
-              "      <td>40.783762</td>\n",
-              "      <td>1.0</td>\n",
+              "      <td>1</td>\n",
+              "      <td>2010</td>\n",
+              "      <td>3</td>\n",
+              "      <td>9</td>\n",
+              "      <td>1</td>\n",
+              "      <td>7</td>\n",
+              "      <td>1.999157</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
               "</div>"
             ],
             "text/plain": [
-              "  fare_amount          pickup_datetime  ...  dropoff_latitude  passenger_count\n",
-              "0         4.5  2009-06-15 17:26:21 UTC  ...         40.712278              1.0\n",
-              "1        16.9  2010-01-05 16:52:16 UTC  ...         40.782004              1.0\n",
-              "2         5.7  2011-08-18 00:35:00 UTC  ...         40.750562              2.0\n",
-              "3         7.7  2012-04-21 04:30:42 UTC  ...         40.758092              1.0\n",
-              "4         5.3  2010-03-09 07:51:00 UTC  ...         40.783762              1.0\n",
-              "\n",
-              "[5 rows x 7 columns]"
+              "   fare_amount  passenger_count  year  Month  Date  Day  Hour  distance\n",
+              "0          4.5                1  2009      6    15    0    17  1.030764\n",
+              "1         16.9                1  2010      1     5    1    16  8.450134\n",
+              "2          5.7                2  2011      8    18    3     0  1.389525\n",
+              "3          7.7                1  2012      4    21    5     4  2.799270\n",
+              "4          5.3                1  2010      3     9    1     7  1.999157"
             ]
           },
           "metadata": {
             "tags": []
           },
-          "execution_count": 417
+          "execution_count": 95
         }
       ]
     },
@@ -594,14 +598,14 @@
         "colab_type": "code",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 289
+          "height": 202
         },
-        "outputId": "1ce67cd6-3191-4f88-c73c-8ee314ccfa68"
+        "outputId": "b4607f8b-f89a-48ba-cae2-7cf4a774eb1c"
       },
       "source": [
-        "test_data.head() "
+        "test_data.head(5) "
       ],
-      "execution_count": 418,
+      "execution_count": 94,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -625,79 +629,91 @@
               "  <thead>\n",
               "    <tr style=\"text-align: right;\">\n",
               "      <th></th>\n",
-              "      <th>pickup_datetime</th>\n",
-              "      <th>pickup_longitude</th>\n",
-              "      <th>pickup_latitude</th>\n",
-              "      <th>dropoff_longitude</th>\n",
-              "      <th>dropoff_latitude</th>\n",
               "      <th>passenger_count</th>\n",
+              "      <th>year</th>\n",
+              "      <th>date</th>\n",
+              "      <th>month</th>\n",
+              "      <th>day</th>\n",
+              "      <th>hour</th>\n",
+              "      <th>distance</th>\n",
+              "      <th>predicted fare</th>\n",
               "    </tr>\n",
               "  </thead>\n",
               "  <tbody>\n",
               "    <tr>\n",
               "      <th>0</th>\n",
-              "      <td>2015-01-27 13:08:24 UTC</td>\n",
-              "      <td>-73.973320</td>\n",
-              "      <td>40.763805</td>\n",
-              "      <td>-73.981430</td>\n",
-              "      <td>40.743835</td>\n",
               "      <td>1</td>\n",
+              "      <td>2015</td>\n",
+              "      <td>2015-01-27</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>13</td>\n",
+              "      <td>2.323259</td>\n",
+              "      <td>9.030922</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>1</th>\n",
-              "      <td>2015-01-27 13:08:24 UTC</td>\n",
-              "      <td>-73.986862</td>\n",
-              "      <td>40.719383</td>\n",
-              "      <td>-73.998886</td>\n",
-              "      <td>40.739201</td>\n",
               "      <td>1</td>\n",
+              "      <td>2015</td>\n",
+              "      <td>2015-01-27</td>\n",
+              "      <td>1</td>\n",
+              "      <td>1</td>\n",
+              "      <td>13</td>\n",
+              "      <td>2.425353</td>\n",
+              "      <td>17.752611</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>2</th>\n",
-              "      <td>2011-10-08 11:53:44 UTC</td>\n",
-              "      <td>-73.982524</td>\n",
-              "      <td>40.751260</td>\n",
-              "      <td>-73.979654</td>\n",
-              "      <td>40.746139</td>\n",
               "      <td>1</td>\n",
+              "      <td>2011</td>\n",
+              "      <td>2011-10-08</td>\n",
+              "      <td>10</td>\n",
+              "      <td>5</td>\n",
+              "      <td>11</td>\n",
+              "      <td>0.618628</td>\n",
+              "      <td>6.344608</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>3</th>\n",
-              "      <td>2012-12-01 21:12:12 UTC</td>\n",
-              "      <td>-73.981160</td>\n",
-              "      <td>40.767807</td>\n",
-              "      <td>-73.990448</td>\n",
-              "      <td>40.751635</td>\n",
               "      <td>1</td>\n",
+              "      <td>2012</td>\n",
+              "      <td>2012-12-01</td>\n",
+              "      <td>12</td>\n",
+              "      <td>5</td>\n",
+              "      <td>21</td>\n",
+              "      <td>1.961033</td>\n",
+              "      <td>7.431251</td>\n",
               "    </tr>\n",
               "    <tr>\n",
               "      <th>4</th>\n",
-              "      <td>2012-12-01 21:12:12 UTC</td>\n",
-              "      <td>-73.966046</td>\n",
-              "      <td>40.789775</td>\n",
-              "      <td>-73.988565</td>\n",
-              "      <td>40.744427</td>\n",
               "      <td>1</td>\n",
+              "      <td>2012</td>\n",
+              "      <td>2012-12-01</td>\n",
+              "      <td>12</td>\n",
+              "      <td>5</td>\n",
+              "      <td>21</td>\n",
+              "      <td>5.387301</td>\n",
+              "      <td>14.611386</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
               "</div>"
             ],
             "text/plain": [
-              "           pickup_datetime  pickup_longitude  ...  dropoff_latitude  passenger_count\n",
-              "0  2015-01-27 13:08:24 UTC        -73.973320  ...         40.743835                1\n",
-              "1  2015-01-27 13:08:24 UTC        -73.986862  ...         40.739201                1\n",
-              "2  2011-10-08 11:53:44 UTC        -73.982524  ...         40.746139                1\n",
-              "3  2012-12-01 21:12:12 UTC        -73.981160  ...         40.751635                1\n",
-              "4  2012-12-01 21:12:12 UTC        -73.966046  ...         40.744427                1\n",
+              "   passenger_count  year       date   ...  hour  distance  predicted fare \n",
+              "0                1  2015  2015-01-27  ...    13  2.323259         9.030922\n",
+              "1                1  2015  2015-01-27  ...    13  2.425353        17.752611\n",
+              "2                1  2011  2011-10-08  ...    11  0.618628         6.344608\n",
+              "3                1  2012  2012-12-01  ...    21  1.961033         7.431251\n",
+              "4                1  2012  2012-12-01  ...    21  5.387301        14.611386\n",
               "\n",
-              "[5 rows x 6 columns]"
+              "[5 rows x 8 columns]"
             ]
           },
           "metadata": {
             "tags": []
           },
-          "execution_count": 418
+          "execution_count": 94
         }
       ]
     },
@@ -720,12 +736,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 156
         },
-        "outputId": "cb8a50b3-1196-4e3b-be4c-ab3fbc7afc77"
+        "outputId": "432677ee-4c2a-41f8-8555-4a0ca4b31ec4"
       },
       "source": [
         "train.dtypes"
       ],
-      "execution_count": 419,
+      "execution_count": 12,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -744,7 +760,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 419
+          "execution_count": 12
         }
       ]
     },
@@ -767,12 +783,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 139
         },
-        "outputId": "e8b0a9b6-f54c-488b-ee45-4a40057e2237"
+        "outputId": "a8734fbd-d675-46e4-90cd-a39bdd05e474"
       },
       "source": [
         "test_data.dtypes"
       ],
-      "execution_count": 420,
+      "execution_count": 13,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -790,7 +806,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 420
+          "execution_count": 13
         }
       ]
     },
@@ -813,7 +829,7 @@
           "base_uri": "https://localhost:8080/",
           "height": 52
         },
-        "outputId": "4b3843f6-b3e0-45e5-a319-4f109c99f507"
+        "outputId": "d9ceb36f-0591-4b17-e56b-cb2a660766e1"
       },
       "source": [
         "\n",
@@ -821,7 +837,7 @@
         "x,y = train.shape\n",
         "print('\\t',x,'      \\t',y)"
       ],
-      "execution_count": 421,
+      "execution_count": 14,
       "outputs": [
         {
           "output_type": "stream",
@@ -852,7 +868,7 @@
           "base_uri": "https://localhost:8080/",
           "height": 52
         },
-        "outputId": "97960bf9-79fc-4caf-93be-35e4b28a8882"
+        "outputId": "f8bfca98-2b2c-4701-f68e-801580d43077"
       },
       "source": [
         "\n",
@@ -860,7 +876,7 @@
         "x,y = test_data.shape\n",
         "print('\\t',x,'      \\t',y)"
       ],
-      "execution_count": 422,
+      "execution_count": 15,
       "outputs": [
         {
           "output_type": "stream",
@@ -891,13 +907,13 @@
           "base_uri": "https://localhost:8080/",
           "height": 294
         },
-        "outputId": "80cb540b-eb99-4153-b454-5f35a09efb65"
+        "outputId": "0446e425-edbc-4150-e668-cd197e4cfbab"
       },
       "source": [
         "\n",
         "test_data.describe()"
       ],
-      "execution_count": 423,
+      "execution_count": 16,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1014,7 +1030,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 423
+          "execution_count": 16
         }
       ]
     },
@@ -1037,13 +1053,13 @@
           "base_uri": "https://localhost:8080/",
           "height": 294
         },
-        "outputId": "8749c83e-2834-44bf-9a72-71d9901879fb"
+        "outputId": "c15cb2b2-6f12-4fec-a3a2-712fdf3020b5"
       },
       "source": [
         "#Descrbing the data set:Describe(): The describe() method is used for calculating some statistical data like percentile, mean and std of the numerical values of the Series or DataFrame. It analyzes both numeric and object series and also the DataFrame column sets of mixed data types.\n",
         "train.describe()"
       ],
-      "execution_count": 424,
+      "execution_count": 17,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1160,7 +1176,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 424
+          "execution_count": 17
         }
       ]
     },
@@ -1196,7 +1212,7 @@
         "train[\"fare_amount\"] = pd.to_numeric(train[\"fare_amount\"],errors = \"coerce\") \n",
         " "
       ],
-      "execution_count": 425,
+      "execution_count": 18,
       "outputs": []
     },
     {
@@ -1218,12 +1234,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 156
         },
-        "outputId": "f02f3977-c09b-4891-a89c-d1aaa610c4fa"
+        "outputId": "c6e52458-8556-4ead-c63e-92a5bfac8ac0"
       },
       "source": [
         "train.dtypes\n"
       ],
-      "execution_count": 426,
+      "execution_count": 19,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1242,7 +1258,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 426
+          "execution_count": 19
         }
       ]
     },
@@ -1257,7 +1273,7 @@
         "#Converting date time to date_time format from object format\n",
         "train['pickup_datetime'] =  pd.to_datetime(train['pickup_datetime'], format='%Y-%m-%d %H:%M:%S UTC')"
       ],
-      "execution_count": 427,
+      "execution_count": 20,
       "outputs": []
     },
     {
@@ -1269,12 +1285,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 156
         },
-        "outputId": "9f818cf5-c585-487c-958c-41484450a032"
+        "outputId": "34c099e4-8e0c-43dc-f650-b9268327720e"
       },
       "source": [
         "train.dtypes"
       ],
-      "execution_count": 428,
+      "execution_count": 21,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1293,7 +1309,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 428
+          "execution_count": 21
         }
       ]
     },
@@ -1316,12 +1332,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 609
         },
-        "outputId": "5865d3a2-5268-4bc0-e3ca-d1011b3975b7"
+        "outputId": "50363fe8-184a-47a0-be55-277faab56043"
       },
       "source": [
         "train.dropna(subset= [\"pickup_datetime\"])   #dropping NA values in datetime column"
       ],
-      "execution_count": 429,
+      "execution_count": 22,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1490,7 +1506,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 429
+          "execution_count": 22
         }
       ]
     },
@@ -1522,7 +1538,7 @@
         "train['Hour'] = train['pickup_datetime'].dt.hour\n",
         "train['Minute'] = train['pickup_datetime'].dt.minute"
       ],
-      "execution_count": 430,
+      "execution_count": 23,
       "outputs": []
     },
     {
@@ -1534,12 +1550,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 260
         },
-        "outputId": "241fe042-a600-4040-ca2c-1ba9b47e0fc8"
+        "outputId": "bdd25732-f2b9-4581-a53a-6506d1206e86"
       },
       "source": [
         "train.dtypes"
       ],
-      "execution_count": 431,
+      "execution_count": 24,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1564,7 +1580,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 431
+          "execution_count": 24
         }
       ]
     },
@@ -1578,7 +1594,7 @@
       "source": [
         "test_data['pickup_datetime']= pd.to_datetime(test_data['pickup_datetime'],format= \"%Y-%m-%d %H:%M:%S UTC\")"
       ],
-      "execution_count": 432,
+      "execution_count": 25,
       "outputs": []
     },
     {
@@ -1590,12 +1606,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 139
         },
-        "outputId": "7b19633d-5db7-4e6c-be20-f5c80abed842"
+        "outputId": "821ad0df-e4ff-497b-ac96-631a416212ce"
       },
       "source": [
         "test_data.dtypes"
       ],
-      "execution_count": 433,
+      "execution_count": 26,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1613,7 +1629,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 433
+          "execution_count": 26
         }
       ]
     },
@@ -1637,7 +1653,7 @@
       "source": [
         "test_data['year'] = test_data['pickup_datetime'].dt.year"
       ],
-      "execution_count": 434,
+      "execution_count": 27,
       "outputs": []
     },
     {
@@ -1649,12 +1665,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 156
         },
-        "outputId": "7243647d-f025-4f98-d2f8-75b8aa479d22"
+        "outputId": "6e5bb512-cb4b-4082-c03c-2281a32f73bd"
       },
       "source": [
         "test_data.dtypes"
       ],
-      "execution_count": 435,
+      "execution_count": 28,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1673,7 +1689,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 435
+          "execution_count": 28
         }
       ]
     },
@@ -1694,7 +1710,7 @@
         "\n",
         "\n"
       ],
-      "execution_count": 436,
+      "execution_count": 29,
       "outputs": []
     },
     {
@@ -1706,12 +1722,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 243
         },
-        "outputId": "9494497b-1179-49ef-a225-bb53fda28f07"
+        "outputId": "f44214eb-0c6e-487c-bbb5-d9884b271504"
       },
       "source": [
         "test_data.dtypes"
       ],
-      "execution_count": 437,
+      "execution_count": 30,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1735,7 +1751,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 437
+          "execution_count": 30
         }
       ]
     },
@@ -1763,7 +1779,7 @@
         "train = train.drop(drop, axis = 1)\n",
         "\n"
       ],
-      "execution_count": 438,
+      "execution_count": 31,
       "outputs": []
     },
     {
@@ -1777,7 +1793,7 @@
         "drop1=['pickup_datetime',  'Minute']\n",
         "test_data = test_data.drop(drop, axis = 1)"
       ],
-      "execution_count": 439,
+      "execution_count": 32,
       "outputs": []
     },
     {
@@ -1807,12 +1823,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 173
         },
-        "outputId": "1b7caaab-621d-46ef-d86c-4cd5b48f242b"
+        "outputId": "e4e67d6b-98bf-475a-a215-0d04a23b7c97"
       },
       "source": [
         "train['passenger_count'].describe()"
       ],
-      "execution_count": 440,
+      "execution_count": 33,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1832,7 +1848,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 440
+          "execution_count": 33
         }
       ]
     },
@@ -1856,7 +1872,7 @@
       "source": [
         "train = train.drop(train[train[\"passenger_count\"]> 6 ].index, axis=0)"
       ],
-      "execution_count": 441,
+      "execution_count": 34,
       "outputs": []
     },
     {
@@ -1868,12 +1884,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 173
         },
-        "outputId": "a441b205-a079-4de0-af60-d40a2fb19d3d"
+        "outputId": "fe32bf0b-6965-4261-9450-41c255e6b5ad"
       },
       "source": [
         "train['passenger_count'].describe()"
       ],
-      "execution_count": 442,
+      "execution_count": 35,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1893,7 +1909,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 442
+          "execution_count": 35
         }
       ]
     },
@@ -1919,7 +1935,7 @@
         "##print(train.shape)\n",
         "#print(train['pickup_datetime'].isnull().sum())"
       ],
-      "execution_count": 443,
+      "execution_count": 36,
       "outputs": []
     },
     {
@@ -1942,7 +1958,7 @@
       "source": [
         "train = train.drop(train[train[\"passenger_count\"] == 0 ].index, axis=0)"
       ],
-      "execution_count": 444,
+      "execution_count": 37,
       "outputs": []
     },
     {
@@ -1954,12 +1970,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 173
         },
-        "outputId": "05bf9403-ef50-4521-d00e-c0063203dcee"
+        "outputId": "85a1a7e8-3ae1-49b1-94c2-a73f1e0b6156"
       },
       "source": [
         "train[\"passenger_count\"].describe()"
       ],
-      "execution_count": 445,
+      "execution_count": 38,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -1979,7 +1995,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 445
+          "execution_count": 38
         }
       ]
     },
@@ -1992,12 +2008,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 225
         },
-        "outputId": "9b5d6dfc-2473-4b2a-dd4d-e60c5a5999fc"
+        "outputId": "57bc53b4-698a-47d6-8644-3b4fe8d511b0"
       },
       "source": [
         "train['passenger_count'].sort_values(ascending = True)"
       ],
-      "execution_count": 446,
+      "execution_count": 39,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2020,7 +2036,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 446
+          "execution_count": 39
         }
       ]
     },
@@ -2043,14 +2059,14 @@
           "base_uri": "https://localhost:8080/",
           "height": 52
         },
-        "outputId": "616284bc-1e0d-4331-feef-b8622fd3713c"
+        "outputId": "434a4ede-51c4-4d89-a5e9-26480fce1947"
       },
       "source": [
         "train = train.drop(train[train['passenger_count'].isnull()].index, axis=0)\n",
         "print(train.shape)\n",
         "print(train['passenger_count'].isnull().sum())"
       ],
-      "execution_count": 447,
+      "execution_count": 40,
       "outputs": [
         {
           "output_type": "stream",
@@ -2081,7 +2097,7 @@
           "base_uri": "https://localhost:8080/",
           "height": 52
         },
-        "outputId": "7d071386-e534-4d9a-e471-360222b957e9"
+        "outputId": "53eaa110-4189-471a-a82f-4db1d79321c7"
       },
       "source": [
         "\n",
@@ -2089,7 +2105,7 @@
         "print(train.shape)\n",
         "print(train['passenger_count'].isnull().sum())\n"
       ],
-      "execution_count": 448,
+      "execution_count": 41,
       "outputs": [
         {
           "output_type": "stream",
@@ -2134,13 +2150,13 @@
           "base_uri": "https://localhost:8080/",
           "height": 99
         },
-        "outputId": "7ec1ab22-59be-4282-f016-1fa76523e3a9"
+        "outputId": "962a6fd1-0550-4866-9de8-c042dc517ee0"
       },
       "source": [
         "train[train['pickup_latitude']<-90]\n",
         "train[train['pickup_latitude']>90]"
       ],
-      "execution_count": 449,
+      "execution_count": 42,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2206,7 +2222,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 449
+          "execution_count": 42
         }
       ]
     },
@@ -2222,7 +2238,7 @@
         "train = train.drop((train[train['pickup_latitude']<-90]).index, axis=0)\n",
         "train = train.drop((train[train['pickup_latitude']>90]).index, axis=0)"
       ],
-      "execution_count": 450,
+      "execution_count": 43,
       "outputs": []
     },
     {
@@ -2234,13 +2250,13 @@
           "base_uri": "https://localhost:8080/",
           "height": 69
         },
-        "outputId": "42c7b6d7-ca99-4ef7-a3c0-e98113becd3d"
+        "outputId": "b633b3d1-416c-403c-b257-c8a487a22cd1"
       },
       "source": [
         "train[train['pickup_longitude']<-180]\n",
         "train[train['pickup_longitude']>180]"
       ],
-      "execution_count": 451,
+      "execution_count": 44,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2291,7 +2307,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 451
+          "execution_count": 44
         }
       ]
     },
@@ -2304,13 +2320,13 @@
           "base_uri": "https://localhost:8080/",
           "height": 69
         },
-        "outputId": "3fdb9975-b333-4b4f-be24-82c18913595f"
+        "outputId": "323c65cb-5b8c-4cc4-c3fa-5a219c06a6fd"
       },
       "source": [
         "train[train['dropoff_latitude']<-90]\n",
         "train[train['dropoff_latitude']>90]\n"
       ],
-      "execution_count": 452,
+      "execution_count": 45,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2361,7 +2377,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 452
+          "execution_count": 45
         }
       ]
     },
@@ -2374,13 +2390,13 @@
           "base_uri": "https://localhost:8080/",
           "height": 69
         },
-        "outputId": "831f9879-0a10-4527-fee1-80cdefc26276"
+        "outputId": "22641ec2-6b30-49c7-c4a1-091e963075c6"
       },
       "source": [
         "train[train['dropoff_longitude']<-180]\n",
         "train[train['dropoff_longitude']>180]\n"
       ],
-      "execution_count": 453,
+      "execution_count": 46,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2431,7 +2447,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 453
+          "execution_count": 46
         }
       ]
     },
@@ -2444,12 +2460,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 173
         },
-        "outputId": "ccd9c65b-5434-4173-aab6-332a5d89f7bc"
+        "outputId": "c071dfc9-111d-470b-9c15-67edcdeca583"
       },
       "source": [
         "train['dropoff_longitude'].describe()"
       ],
-      "execution_count": 454,
+      "execution_count": 47,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2469,7 +2485,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 454
+          "execution_count": 47
         }
       ]
     },
@@ -2482,12 +2498,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 173
         },
-        "outputId": "adbb43c2-946a-4f67-bd73-6832e95d1f0b"
+        "outputId": "fce1b570-a42d-4dff-b9ee-348087a27651"
       },
       "source": [
         "train['dropoff_latitude'].describe()"
       ],
-      "execution_count": 455,
+      "execution_count": 48,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2507,7 +2523,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 455
+          "execution_count": 48
         }
       ]
     },
@@ -2520,12 +2536,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 173
         },
-        "outputId": "d7186bda-6611-4d08-e387-bbe6c9c30291"
+        "outputId": "28255266-5ec0-44c8-d766-8ca1edd9bb38"
       },
       "source": [
         "train['pickup_latitude'].describe()"
       ],
-      "execution_count": 456,
+      "execution_count": 49,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2545,7 +2561,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 456
+          "execution_count": 49
         }
       ]
     },
@@ -2558,12 +2574,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 173
         },
-        "outputId": "a3c1bece-ad1c-423c-f023-efd7edde995f"
+        "outputId": "250d1d6f-f14a-4680-91d1-8574f0ca5206"
       },
       "source": [
         "train['dropoff_longitude'].describe()"
       ],
-      "execution_count": 457,
+      "execution_count": 50,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2583,7 +2599,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 457
+          "execution_count": 50
         }
       ]
     },
@@ -2606,12 +2622,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 225
         },
-        "outputId": "dc71ba39-87bf-4da0-f5f1-25cd3a08c878"
+        "outputId": "6d0746a1-e1f2-4620-f3c0-4a1ddc16dc98"
       },
       "source": [
         "train['fare_amount'].sort_values(ascending=True)"
       ],
-      "execution_count": 458,
+      "execution_count": 51,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2634,7 +2650,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 458
+          "execution_count": 51
         }
       ]
     },
@@ -2658,7 +2674,7 @@
       "source": [
         "train = train.drop(train[train['fare_amount'].isnull()].index,axis=0)"
       ],
-      "execution_count": 459,
+      "execution_count": 52,
       "outputs": []
     },
     {
@@ -2672,7 +2688,7 @@
         "\n",
         "train = train.drop(train[train[\"fare_amount\"]<0].index, axis=0)\n"
       ],
-      "execution_count": 460,
+      "execution_count": 53,
       "outputs": []
     },
     {
@@ -2686,7 +2702,7 @@
         "train = train.drop(train[train[\"fare_amount\"]<1].index, axis=0)\n",
         "train = train.drop(train[train[\"fare_amount\"]> 454 ].index, axis=0)"
       ],
-      "execution_count": 461,
+      "execution_count": 54,
       "outputs": []
     },
     {
@@ -2698,12 +2714,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 173
         },
-        "outputId": "1cee2425-0427-4ef6-ad10-57c151faeeb4"
+        "outputId": "bbd9e434-9e13-46be-979a-f7aefc658d4c"
       },
       "source": [
         "train['fare_amount'].describe()"
       ],
-      "execution_count": 462,
+      "execution_count": 55,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2723,7 +2739,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 462
+          "execution_count": 55
         }
       ]
     },
@@ -2763,7 +2779,7 @@
         "    km = 6371* c\n",
         "    return km"
       ],
-      "execution_count": 463,
+      "execution_count": 56,
       "outputs": []
     },
     {
@@ -2776,7 +2792,7 @@
       "source": [
         "train['distance'] = train[['pickup_longitude','pickup_latitude','dropoff_longitude','dropoff_latitude']].apply(haversine,axis=1)"
       ],
-      "execution_count": 464,
+      "execution_count": 57,
       "outputs": []
     },
     {
@@ -2789,7 +2805,7 @@
       "source": [
         "test_data['distance'] = test_data[['pickup_longitude','pickup_latitude','dropoff_longitude','dropoff_latitude']].apply(haversine,axis=1)"
       ],
-      "execution_count": 465,
+      "execution_count": 58,
       "outputs": []
     },
     {
@@ -2813,7 +2829,7 @@
         "drop = [ 'pickup_longitude', 'pickup_latitude','dropoff_longitude', 'dropoff_latitude']\n",
         "train = train.drop(drop, axis = 1)"
       ],
-      "execution_count": 466,
+      "execution_count": 59,
       "outputs": []
     },
     {
@@ -2827,7 +2843,7 @@
         "drop1=['pickup_longitude', 'pickup_latitude','dropoff_longitude', 'dropoff_latitude']\n",
         "test_data = test_data.drop(drop, axis = 1)"
       ],
-      "execution_count": 467,
+      "execution_count": 60,
       "outputs": []
     },
     {
@@ -2849,12 +2865,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 202
         },
-        "outputId": "2c10b080-ffdd-446d-9c71-bade9b66e68a"
+        "outputId": "a1b7c78e-76a5-4195-ad1f-7c1b71174719"
       },
       "source": [
         "train.head()"
       ],
-      "execution_count": 468,
+      "execution_count": 61,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -2960,7 +2976,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 468
+          "execution_count": 61
         }
       ]
     },
@@ -2973,12 +2989,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 202
         },
-        "outputId": "39cbc11a-dcc4-4939-cd24-df15c338ea4c"
+        "outputId": "7e510ffb-6ac1-43b4-f091-da1a358d1ec1"
       },
       "source": [
         "test_data.head()"
       ],
-      "execution_count": 469,
+      "execution_count": 62,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3078,7 +3094,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 469
+          "execution_count": 62
         }
       ]
     },
@@ -3091,12 +3107,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 156
         },
-        "outputId": "245a114d-db01-4fb2-8565-4246701edd45"
+        "outputId": "59faf0d0-1ebd-4e8b-dadf-8aa83895ec75"
       },
       "source": [
         "test_data.nunique()"
       ],
-      "execution_count": 470,
+      "execution_count": 63,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3115,7 +3131,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 470
+          "execution_count": 63
         }
       ]
     },
@@ -3128,12 +3144,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 173
         },
-        "outputId": "4f3dc6f6-bdd9-46a4-e651-b2c68fb1b0dc"
+        "outputId": "159c4ad2-63b2-43f0-dec1-dae3f1497d44"
       },
       "source": [
         "train.nunique()"
       ],
-      "execution_count": 471,
+      "execution_count": 64,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3153,7 +3169,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 471
+          "execution_count": 64
         }
       ]
     },
@@ -3166,12 +3182,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 225
         },
-        "outputId": "f9f6c52c-6224-4820-8c74-86fd3af2a5fe"
+        "outputId": "54e97124-058a-4ac4-e9da-d87a07cada21"
       },
       "source": [
         "train['distance'].sort_values( ascending=False,kind = 'quicksort')"
       ],
-      "execution_count": 472,
+      "execution_count": 65,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3194,7 +3210,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 472
+          "execution_count": 65
         }
       ]
     },
@@ -3230,7 +3246,7 @@
       "source": [
         "train = train.drop(train[train['distance']==0].index,level = None,axis = 0)"
       ],
-      "execution_count": 473,
+      "execution_count": 66,
       "outputs": []
     },
     {
@@ -3253,7 +3269,7 @@
       "source": [
         "train = train.drop(train[train['distance']>129].index,axis = 0,level = None)"
       ],
-      "execution_count": 474,
+      "execution_count": 67,
       "outputs": []
     },
     {
@@ -3265,12 +3281,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 225
         },
-        "outputId": "f7e7010a-4cf7-4e40-de7b-524429ed8449"
+        "outputId": "6a49c36c-7259-42e5-8c09-61bb75a081f1"
       },
       "source": [
         "train['distance']"
       ],
-      "execution_count": 475,
+      "execution_count": 68,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3293,7 +3309,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 475
+          "execution_count": 68
         }
       ]
     },
@@ -3306,12 +3322,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 314
         },
-        "outputId": "3231b728-159d-490a-bf33-5d38278023d3"
+        "outputId": "8563b6f7-535f-4bed-c547-3aed71c78870"
       },
       "source": [
         "train.describe()"
       ],
-      "execution_count": 476,
+      "execution_count": 69,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3455,7 +3471,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 476
+          "execution_count": 69
         }
       ]
     },
@@ -3468,12 +3484,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 173
         },
-        "outputId": "8506db67-bcd9-48c9-8ae7-1e8f1c9e765e"
+        "outputId": "a3483cf0-70f9-4972-bdfe-a19a0b7d5bce"
       },
       "source": [
         "train.dtypes"
       ],
-      "execution_count": 477,
+      "execution_count": 70,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3493,7 +3509,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 477
+          "execution_count": 70
         }
       ]
     },
@@ -3516,12 +3532,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 225
         },
-        "outputId": "6e01db98-d732-4430-c20e-ab8052b9e410"
+        "outputId": "fa36738d-5785-41e9-9c1f-c486b14869df"
       },
       "source": [
         "train['passenger_count']"
       ],
-      "execution_count": 478,
+      "execution_count": 71,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3544,7 +3560,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 478
+          "execution_count": 71
         }
       ]
     },
@@ -3558,7 +3574,7 @@
       "source": [
         "train['passenger_count'] = train['passenger_count'].astype('int64')\n"
       ],
-      "execution_count": 479,
+      "execution_count": 72,
       "outputs": []
     },
     {
@@ -3570,12 +3586,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 173
         },
-        "outputId": "394968c8-1177-4316-d557-22f67fb26b81"
+        "outputId": "0aecfa59-b200-496f-802f-9c36728d3bf5"
       },
       "source": [
         "train['year'].describe()"
       ],
-      "execution_count": 480,
+      "execution_count": 73,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3595,7 +3611,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 480
+          "execution_count": 73
         }
       ]
     },
@@ -3609,7 +3625,7 @@
       "source": [
         "train = train.drop(train[train['year'].isnull()].index, axis=0)\n"
       ],
-      "execution_count": 481,
+      "execution_count": 74,
       "outputs": []
     },
     {
@@ -3625,7 +3641,7 @@
         "train['Day'] = train['Day'].astype('int64')\n",
         "train['Hour'] = train['Hour'].astype('int64')"
       ],
-      "execution_count": 482,
+      "execution_count": 75,
       "outputs": []
     },
     {
@@ -3638,7 +3654,7 @@
       "source": [
         "train['year'] = train['year'].astype('int64')"
       ],
-      "execution_count": 483,
+      "execution_count": 76,
       "outputs": []
     },
     {
@@ -3650,12 +3666,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 173
         },
-        "outputId": "9cea1a98-2b0b-424e-e526-18eb80c91bd6"
+        "outputId": "eaeffade-a4f8-4d45-beeb-77a7b29f52d2"
       },
       "source": [
         "train.dtypes"
       ],
-      "execution_count": 484,
+      "execution_count": 77,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3675,7 +3691,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 484
+          "execution_count": 77
         }
       ]
     },
@@ -3688,12 +3704,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 225
         },
-        "outputId": "d51b5401-869d-4041-e28d-ecbd17af078d"
+        "outputId": "ad50111d-5a09-4077-d937-7afd967b4801"
       },
       "source": [
         "train['year']"
       ],
-      "execution_count": 485,
+      "execution_count": 78,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3716,7 +3732,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 485
+          "execution_count": 78
         }
       ]
     },
@@ -3729,12 +3745,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 202
         },
-        "outputId": "0c40b979-d9a4-4402-983e-9b60e105a0d1"
+        "outputId": "8da6a0c5-16bc-41ef-bc0f-0fa673e47f0e"
       },
       "source": [
-        "train.head()"
+        "train.head(5)"
       ],
-      "execution_count": 486,
+      "execution_count": 96,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3840,7 +3856,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 486
+          "execution_count": 96
         }
       ]
     },
@@ -3853,12 +3869,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 156
         },
-        "outputId": "361a49eb-2e1a-4d44-eafa-3c110dff36b3"
+        "outputId": "04e60004-c3ed-4b2f-8a63-db057b4d3668"
       },
       "source": [
         "test_data.dtypes"
       ],
-      "execution_count": 487,
+      "execution_count": 80,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3877,7 +3893,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 487
+          "execution_count": 80
         }
       ]
     },
@@ -3890,12 +3906,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 202
         },
-        "outputId": "a8c67677-0877-449a-f385-8fc295f1aeeb"
+        "outputId": "be362035-0f01-405a-d513-366c4c791355"
       },
       "source": [
         "test_data.head()"
       ],
-      "execution_count": 488,
+      "execution_count": 81,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -3995,7 +4011,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 488
+          "execution_count": 81
         }
       ]
     },
@@ -4023,7 +4039,7 @@
         "X_train, X_test, y_train, y_test = train_test_split( train.iloc[:, train.columns != 'fare_amount'], \n",
         "                         train.iloc[:, 0], test_size = 0.20, random_state = 1)"
       ],
-      "execution_count": 489,
+      "execution_count": 82,
       "outputs": []
     },
     {
@@ -4035,12 +4051,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 415
         },
-        "outputId": "4b08ea80-1eb4-48ff-8d28-275639e2fb54"
+        "outputId": "b13a98f9-6ae7-4ad6-f2e2-7b91bb6853eb"
       },
       "source": [
         "X_train"
       ],
-      "execution_count": 490,
+      "execution_count": 83,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -4209,7 +4225,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 490
+          "execution_count": 83
         }
       ]
     },
@@ -4222,12 +4238,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 225
         },
-        "outputId": "263af520-2ac8-4c56-9f7d-d0a801b6b97e"
+        "outputId": "ced2730d-6ce9-4725-8778-d7c217a2fa18"
       },
       "source": [
         "y_test"
       ],
-      "execution_count": 491,
+      "execution_count": 84,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -4250,7 +4266,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 491
+          "execution_count": 84
         }
       ]
     },
@@ -4263,12 +4279,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 35
         },
-        "outputId": "1f46d800-434a-4011-a77f-f8b94b736bb3"
+        "outputId": "cbab6ae4-a3b2-42c9-af0b-1aec0684f577"
       },
       "source": [
         "X_train.shape"
       ],
-      "execution_count": 492,
+      "execution_count": 85,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -4280,7 +4296,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 492
+          "execution_count": 85
         }
       ]
     },
@@ -4293,12 +4309,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 294
         },
-        "outputId": "ed407dba-e3bf-480a-d3f7-f972c45e0367"
+        "outputId": "63db3d92-c59f-43a0-ca7f-a0ff545e0324"
       },
       "source": [
         "X_train.describe()"
       ],
-      "execution_count": 493,
+      "execution_count": 86,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -4433,7 +4449,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 493
+          "execution_count": 86
         }
       ]
     },
@@ -4446,12 +4462,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 294
         },
-        "outputId": "d45eb499-3722-4991-8163-fb68b0a7f753"
+        "outputId": "592320df-e7d2-480e-b32e-010c98298293"
       },
       "source": [
         "X_test.describe()"
       ],
-      "execution_count": 494,
+      "execution_count": 87,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -4586,7 +4602,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 494
+          "execution_count": 87
         }
       ]
     },
@@ -4599,12 +4615,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 35
         },
-        "outputId": "fa1562a4-9298-43f4-91e8-19119d23b1a2"
+        "outputId": "0c1baf11-73ba-4593-ba7e-aa97c48f0de8"
       },
       "source": [
         "X_test.shape"
       ],
-      "execution_count": 495,
+      "execution_count": 88,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -4616,7 +4632,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 495
+          "execution_count": 88
         }
       ]
     },
@@ -4629,12 +4645,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 225
         },
-        "outputId": "fd496c24-4131-40fd-eb2d-a00bcd0b42f1"
+        "outputId": "2ae71a26-e9b4-479a-cbfa-fcc6477eb0c1"
       },
       "source": [
         "y_train"
       ],
-      "execution_count": 496,
+      "execution_count": 89,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -4657,7 +4673,7 @@
           "metadata": {
             "tags": []
           },
-          "execution_count": 496
+          "execution_count": 89
         }
       ]
     },
@@ -4681,7 +4697,7 @@
       "source": [
         "regressor = LinearRegression().fit(X_train,y_train)"
       ],
-      "execution_count": 497,
+      "execution_count": 90,
       "outputs": []
     },
     {
@@ -4691,20 +4707,21 @@
         "colab_type": "code",
         "colab": {
           "base_uri": "https://localhost:8080/",
-          "height": 35
+          "height": 52
         },
-        "outputId": "55107cf6-9f0c-4dc4-f450-ba8b267bd905"
+        "outputId": "8a9a6f5a-6a5c-4f17-bc0b-825e2530abbb"
       },
       "source": [
         "y_pred= regressor.predict(X_test)\n",
         "print(y_pred)"
       ],
-      "execution_count": 498,
+      "execution_count": 98,
       "outputs": [
         {
           "output_type": "stream",
           "text": [
-            "[ 9.03 17.75  6.34 ... 10.59  9.71  9.54]\n"
+            "[ 9.03092216 17.75261122  6.34460849 ... 10.5865315   9.70641998\n",
+            "  9.53601507]\n"
           ],
           "name": "stdout"
         }
@@ -4720,7 +4737,7 @@
       "source": [
         "test_data['predicted fare ']= pd.Series(y_pred)"
       ],
-      "execution_count": 499,
+      "execution_count": 92,
       "outputs": []
     },
     {
@@ -4732,12 +4749,12 @@
           "base_uri": "https://localhost:8080/",
           "height": 415
         },
-        "outputId": "5f95b498-1472-46ed-ad4b-5213a161758f"
+        "outputId": "29124328-122a-4729-a5f6-9e65dfb43506"
       },
       "source": [
-        "test_data"
+        "test_data.head(1000)"
       ],
-      "execution_count": 502,
+      "execution_count": 100,
       "outputs": [
         {
           "output_type": "execute_result",
@@ -4839,86 +4856,86 @@
               "      <td>...</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>9909</th>\n",
-              "      <td>6</td>\n",
-              "      <td>2015</td>\n",
-              "      <td>2015-05-10</td>\n",
+              "      <th>995</th>\n",
+              "      <td>1</td>\n",
+              "      <td>2010</td>\n",
+              "      <td>2010-08-14</td>\n",
+              "      <td>8</td>\n",
               "      <td>5</td>\n",
-              "      <td>6</td>\n",
-              "      <td>12</td>\n",
-              "      <td>2.124874</td>\n",
-              "      <td>NaN</td>\n",
+              "      <td>2</td>\n",
+              "      <td>0.485708</td>\n",
+              "      <td>9.900170</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>9910</th>\n",
-              "      <td>6</td>\n",
-              "      <td>2015</td>\n",
-              "      <td>2015-01-12</td>\n",
+              "      <th>996</th>\n",
               "      <td>1</td>\n",
-              "      <td>0</td>\n",
-              "      <td>17</td>\n",
-              "      <td>3.270969</td>\n",
-              "      <td>NaN</td>\n",
+              "      <td>2010</td>\n",
+              "      <td>2010-08-14</td>\n",
+              "      <td>8</td>\n",
+              "      <td>5</td>\n",
+              "      <td>2</td>\n",
+              "      <td>1.084746</td>\n",
+              "      <td>5.645274</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>9911</th>\n",
-              "      <td>6</td>\n",
-              "      <td>2015</td>\n",
-              "      <td>2015-04-19</td>\n",
-              "      <td>4</td>\n",
-              "      <td>6</td>\n",
-              "      <td>20</td>\n",
-              "      <td>19.183942</td>\n",
-              "      <td>NaN</td>\n",
+              "      <th>997</th>\n",
+              "      <td>1</td>\n",
+              "      <td>2010</td>\n",
+              "      <td>2010-08-14</td>\n",
+              "      <td>8</td>\n",
+              "      <td>5</td>\n",
+              "      <td>2</td>\n",
+              "      <td>7.038219</td>\n",
+              "      <td>8.633435</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>9912</th>\n",
-              "      <td>6</td>\n",
-              "      <td>2015</td>\n",
-              "      <td>2015-01-31</td>\n",
+              "      <th>998</th>\n",
               "      <td>1</td>\n",
+              "      <td>2010</td>\n",
+              "      <td>2010-08-14</td>\n",
+              "      <td>8</td>\n",
               "      <td>5</td>\n",
-              "      <td>1</td>\n",
-              "      <td>8.343486</td>\n",
-              "      <td>NaN</td>\n",
+              "      <td>2</td>\n",
+              "      <td>3.681500</td>\n",
+              "      <td>8.617010</td>\n",
               "    </tr>\n",
               "    <tr>\n",
-              "      <th>9913</th>\n",
-              "      <td>6</td>\n",
-              "      <td>2015</td>\n",
-              "      <td>2015-01-18</td>\n",
+              "      <th>999</th>\n",
               "      <td>1</td>\n",
-              "      <td>6</td>\n",
-              "      <td>14</td>\n",
-              "      <td>1.180825</td>\n",
-              "      <td>NaN</td>\n",
+              "      <td>2010</td>\n",
+              "      <td>2010-08-14</td>\n",
+              "      <td>8</td>\n",
+              "      <td>5</td>\n",
+              "      <td>2</td>\n",
+              "      <td>2.955836</td>\n",
+              "      <td>7.350423</td>\n",
               "    </tr>\n",
               "  </tbody>\n",
               "</table>\n",
-              "<p>9914 rows × 8 columns</p>\n",
+              "<p>1000 rows × 8 columns</p>\n",
               "</div>"
             ],
             "text/plain": [
-              "      passenger_count  year       date   ...  hour   distance  predicted fare \n",
-              "0                   1  2015  2015-01-27  ...    13   2.323259         9.030922\n",
-              "1                   1  2015  2015-01-27  ...    13   2.425353        17.752611\n",
-              "2                   1  2011  2011-10-08  ...    11   0.618628         6.344608\n",
-              "3                   1  2012  2012-12-01  ...    21   1.961033         7.431251\n",
-              "4                   1  2012  2012-12-01  ...    21   5.387301        14.611386\n",
-              "...               ...   ...         ...  ...   ...        ...              ...\n",
-              "9909                6  2015  2015-05-10  ...    12   2.124874              NaN\n",
-              "9910                6  2015  2015-01-12  ...    17   3.270969              NaN\n",
-              "9911                6  2015  2015-04-19  ...    20  19.183942              NaN\n",
-              "9912                6  2015  2015-01-31  ...     1   8.343486              NaN\n",
-              "9913                6  2015  2015-01-18  ...    14   1.180825              NaN\n",
+              "     passenger_count  year       date   ...  hour  distance  predicted fare \n",
+              "0                  1  2015  2015-01-27  ...    13  2.323259         9.030922\n",
+              "1                  1  2015  2015-01-27  ...    13  2.425353        17.752611\n",
+              "2                  1  2011  2011-10-08  ...    11  0.618628         6.344608\n",
+              "3                  1  2012  2012-12-01  ...    21  1.961033         7.431251\n",
+              "4                  1  2012  2012-12-01  ...    21  5.387301        14.611386\n",
+              "..               ...   ...         ...  ...   ...       ...              ...\n",
+              "995                1  2010  2010-08-14  ...     2  0.485708         9.900170\n",
+              "996                1  2010  2010-08-14  ...     2  1.084746         5.645274\n",
+              "997                1  2010  2010-08-14  ...     2  7.038219         8.633435\n",
+              "998                1  2010  2010-08-14  ...     2  3.681500         8.617010\n",
+              "999                1  2010  2010-08-14  ...     2  2.955836         7.350423\n",
               "\n",
-              "[9914 rows x 8 columns]"
+              "[1000 rows x 8 columns]"
             ]
           },
           "metadata": {
             "tags": []
           },
-          "execution_count": 502
+          "execution_count": 100
         }
       ]
     }