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‎03_Bivariate_Analysis.ipynb

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"name": "03 Bivariate Analysis.ipynb",
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"provenance": [],
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"collapsed_sections": [],
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"authorship_tag": "ABX9TyP3h+N6kET0tCX6FWRHCXPT",
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"authorship_tag": "ABX9TyNitj9yWnY1UKfAQWw62lDF",
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"include_colab_link": true
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},
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"kernelspec": {
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"colab": {
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"base_uri": "https://localhost:8080/"
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},
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"outputId": "8467200f-f18a-450e-ffb6-2dfe3e309771"
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"outputId": "30fe1223-c639-45a3-f9b3-ef39fcd02141"
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},
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"source": [
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"# Libraries \n",
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"import warnings\n",
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"warnings.simplefilter('ignore')"
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],
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"execution_count": null,
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"execution_count": 1,
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"outputs": [
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{
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"output_type": "stream",
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"boston_pd.columns = boston.feature_names\n",
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"boston_pd[\"MEDV\"] = boston.target"
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],
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"execution_count": 8,
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"execution_count": 2,
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"outputs": []
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},
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{
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"id": "4Z8WGscQvAJd",
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"colab": {
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"base_uri": "https://localhost:8080/",
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"height": 483
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"height": 452
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},
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"outputId": "a7694c3c-844b-4a11-f4ea-974e34ad2b6e"
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"outputId": "30f5ffab-fe34-4530-8010-385a1d6d1d2b"
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},
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"source": [
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"# Import library for VIF\n",
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"\n",
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" return(vif)\n",
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"\n",
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"calc_vif(boston_pd)"
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"# Remove Dependent Column first and then apply VIF\n",
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"X = boston_pd.iloc[:,:-1]\n",
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"calc_vif(X)"
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],
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"execution_count": 10,
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"execution_count": 3,
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"outputs": [
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{
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"output_type": "execute_result",
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" <tr>\n",
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" <th>0</th>\n",
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" <td>CRIM</td>\n",
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" <td>2.131404</td>\n",
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" <td>2.100373</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>1</th>\n",
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" <td>ZN</td>\n",
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" <td>2.910004</td>\n",
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" <td>2.844013</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>2</th>\n",
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" <td>INDUS</td>\n",
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" <td>14.485874</td>\n",
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" <td>14.485758</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>3</th>\n",
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" <td>CHAS</td>\n",
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" <td>1.176266</td>\n",
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" <td>1.152952</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>4</th>\n",
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" <td>NOX</td>\n",
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" <td>74.004269</td>\n",
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" <td>73.894947</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>5</th>\n",
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" <td>RM</td>\n",
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" <td>136.101743</td>\n",
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" <td>77.948283</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>6</th>\n",
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" <td>AGE</td>\n",
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" <td>21.398863</td>\n",
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" <td>21.386850</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>7</th>\n",
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" <td>DIS</td>\n",
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" <td>15.430455</td>\n",
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" <td>14.699652</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>8</th>\n",
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" <td>RAD</td>\n",
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" <td>15.369980</td>\n",
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" <td>15.167725</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>9</th>\n",
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" <td>TAX</td>\n",
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" <td>61.939713</td>\n",
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" <td>61.227274</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>10</th>\n",
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" <td>PTRATIO</td>\n",
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" <td>87.227233</td>\n",
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" <td>85.029547</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>11</th>\n",
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" <td>B</td>\n",
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" <td>21.351015</td>\n",
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" <td>20.104943</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>12</th>\n",
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" <td>LSTAT</td>\n",
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" <td>12.615188</td>\n",
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" </tr>\n",
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" <tr>\n",
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" <th>13</th>\n",
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" <td>MEDV</td>\n",
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" <td>24.503206</td>\n",
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" <td>11.102025</td>\n",
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" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
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" variables VIF\n",
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"0 CRIM 2.131404\n",
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"1 ZN 2.910004\n",
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"2 INDUS 14.485874\n",
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"3 CHAS 1.176266\n",
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"4 NOX 74.004269\n",
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"5 RM 136.101743\n",
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"6 AGE 21.398863\n",
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"7 DIS 15.430455\n",
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"8 RAD 15.369980\n",
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"9 TAX 61.939713\n",
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"10 PTRATIO 87.227233\n",
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"11 B 21.351015\n",
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"12 LSTAT 12.615188\n",
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"13 MEDV 24.503206"
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" variables VIF\n",
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"0 CRIM 2.100373\n",
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"1 ZN 2.844013\n",
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"2 INDUS 14.485758\n",
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"3 CHAS 1.152952\n",
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"4 NOX 73.894947\n",
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"5 RM 77.948283\n",
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"6 AGE 21.386850\n",
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"7 DIS 14.699652\n",
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"8 RAD 15.167725\n",
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"9 TAX 61.227274\n",
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"10 PTRATIO 85.029547\n",
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"11 B 20.104943\n",
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"12 LSTAT 11.102025"
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]
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},
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"metadata": {},
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"execution_count": 10
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"execution_count": 3
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}
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]
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},

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