Machine Learning for Developers by Rodolfo Bonnin

Author:Rodolfo Bonnin
Language: eng
Format: epub, mobi, pdf
Tags: COM018000 - COMPUTERS / Data Processing, COM021030 - COMPUTERS / Databases / Data Mining, COM051280 - COMPUTERS / Programming Languages / Java
Publisher: Packt
Published: 2018-02-26T10:50:09+00:00

Correlation plot of the San Francisco housing dataset.

Data exploration and linear regression in practice

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')

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