MS CS - Machine learning assignment - programming

{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "colab": {}, "colab_type": "code", "id": "_mH0rAuvUju8" }, "outputs": [], "source": [ "# Import libraries:\n", "import numpy as np\n", "import pandas as pd\n", "import seaborn as sns # optional, but recommended\n", "import matplotlib.pyplot as plt \n", "from sklearn import datasets" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "cancer = datasets.load_breast_cancer()" ] }, { "cell_type": "code", "execution_count": 0, "metadata": { "colab": {}, "colab_type": "code", "id": "fxzWh2YoU8Un" }, "outputs": [], "source": [ "# enter your code here" ] } ], "metadata": { "colab": { "name": "hw0_template.ipynb", "provenance": [], "version": "0.3.2" }, "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.7.3" } }, "nbformat": 4, "nbformat_minor": 1 }