January 2020
Beginner to intermediate
372 pages
10h
English
Content preview from Python Feature Engineering Cookbook
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Identifying a normal distribution
Linear models assume that the independent variables are normally distributed. Failure to meet this assumption may produce algorithms that perform poorly. We can determine whether a variable is normally distributed with histograms and Q-Q plots. In a Q-Q plot, the quantiles of the independent variable are plotted against the expected quantiles of the normal distribution. If the variable is normally distributed, the dots in the Q-Q plot should fall along a 45 degree diagonal. In this recipe, we will learn how to evaluate normal distributions using histograms and Q-Q plots.
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.