In this section, we will start using one of the most well-known toy datasets, explore it, and select one of the dimensions to learn how to build a linear regression model for its values.
Let's start by importing all the libraries (scikit-learn, seaborn, and matplotlib); one of the excellent features of Seaborn is its ability to define very professional-looking style settings. In this case, we will use the whitegrid style:
import numpy as np from sklearn import datasets import seaborn.apionly as sns %matplotlib inline import matplotlib.pyplot as plt sns.set(style='whitegrid', context='notebook')
