{ "nbformat": 4, "nbformat_minor": 0, "metadata": { "colab": { "name": "Quick regression example", "provenance": [], "include_colab_link": true }, "kernelspec": { "name": "python3", "display_name": "Python 3" } }, "cells": [ { "cell_type": "markdown", "metadata": { "id": "view-in-github", "colab_type": "text" }, "source": [ "" ] }, { "cell_type": "markdown", "metadata": { "id": "R5ApiQ53zuc1", "colab_type": "text" }, "source": [ "# Regression\n", "\n", "We'll use the famous [Boston house prices](https://www.cs.toronto.edu/~delve/data/boston/bostonDetail.html) dataset." ] }, { "cell_type": "code", "metadata": { "id": "IuDW61LQ7FHJ", "colab_type": "code", "outputId": "cfb1c567-46c9-42c3-f16f-78bef344db0b", "colab": { "base_uri": "https://localhost:8080/", "height": 204 } }, "source": [ "import pandas as pd\n", "from sklearn.datasets import load_boston\n", "\n", "boston = load_boston()\n", "df = pd.DataFrame(boston['data'], columns=boston['feature_names'])\n", "df.head()" ], "execution_count": 1, "outputs": [ { "output_type": "execute_result", "data": { "text/html": [ "
\n", " | CRIM | \n", "ZN | \n", "INDUS | \n", "CHAS | \n", "NOX | \n", "RM | \n", "AGE | \n", "DIS | \n", "RAD | \n", "TAX | \n", "PTRATIO | \n", "B | \n", "LSTAT | \n", "
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | \n", "0.00632 | \n", "18.0 | \n", "2.31 | \n", "0.0 | \n", "0.538 | \n", "6.575 | \n", "65.2 | \n", "4.0900 | \n", "1.0 | \n", "296.0 | \n", "15.3 | \n", "396.90 | \n", "4.98 | \n", "
1 | \n", "0.02731 | \n", "0.0 | \n", "7.07 | \n", "0.0 | \n", "0.469 | \n", "6.421 | \n", "78.9 | \n", "4.9671 | \n", "2.0 | \n", "242.0 | \n", "17.8 | \n", "396.90 | \n", "9.14 | \n", "
2 | \n", "0.02729 | \n", "0.0 | \n", "7.07 | \n", "0.0 | \n", "0.469 | \n", "7.185 | \n", "61.1 | \n", "4.9671 | \n", "2.0 | \n", "242.0 | \n", "17.8 | \n", "392.83 | \n", "4.03 | \n", "
3 | \n", "0.03237 | \n", "0.0 | \n", "2.18 | \n", "0.0 | \n", "0.458 | \n", "6.998 | \n", "45.8 | \n", "6.0622 | \n", "3.0 | \n", "222.0 | \n", "18.7 | \n", "394.63 | \n", "2.94 | \n", "
4 | \n", "0.06905 | \n", "0.0 | \n", "2.18 | \n", "0.0 | \n", "0.458 | \n", "7.147 | \n", "54.2 | \n", "6.0622 | \n", "3.0 | \n", "222.0 | \n", "18.7 | \n", "396.90 | \n", "5.33 | \n", "