Skip to Content
Python Feature Engineering Cookbook
book

Python Feature Engineering Cookbook

by Soledad Galli
January 2020
Beginner to intermediate
372 pages
10h
English
Packt Publishing
Content preview from Python Feature Engineering Cookbook

How it works...

The pandas library has plenty of built-in operations to compare one feature or a subset of features to a single reference variable. In this recipe, we used the pandas sub() and div() methods to determine the difference or the ratio between two variables or a subset of variables and one reference feature.

First, we loaded the Breast Cancer dataset from scikit-learn. Next, we subtracted one variable from another. To do this, we applied the sub() method to a pandas Series with the first variable, passing the second pandas Series with the second variable within the method, which returned a third pandas Series with the second variable subtracted from the first one. To divide one variable from another, we used the div() method, ...

Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.

Read now

Unlock full access

More than 5,000 organizations count on O’Reilly

AirBnbBlueOriginElectronic ArtsHomeDepotNasdaqRakutenTata Consultancy Services

QuotationMarkO’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.
Julian F.
Head of Cybersecurity
QuotationMarkI 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.
Field Engineer
QuotationMarkI’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.
Amir M.
Data Platform Tech Lead
QuotationMarkI'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.
Mark W.
Embedded Software Engineer

You might also like

Python Feature Engineering Cookbook - Second Edition

Python Feature Engineering Cookbook - Second Edition

Soledad Galli

Publisher Resources

ISBN: 9781789806311