January 2020
Beginner to intermediate
372 pages
10h
English
Content preview from Python Feature Engineering Cookbook
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See also
In the accompanying GitHub repository, https://github.com/PacktPublishing/Python-Feature-Engineering-Cookbook, you will find code to create histograms, Q-Q plots, and boxplots, and compare the effect of winsorization in normal and skewed variables.
You can also find out more about handling outliers with Feature-engine in its documentation at https://feature-engine.readthedocs.io/en/latest/outliercappers/Winsorizer.html.
To learn more about the pros and cons of winsorization, visit this blog: https://blogs.sas.com/content/iml/2017/02/08/winsorization-good-bad-and-ugly.html.
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