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Python Feature Engineering Cookbook

You're reading from   Python Feature Engineering Cookbook Over 70 recipes for creating, engineering, and transforming features to build machine learning models

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Product type Paperback
Published in Oct 2022
Publisher Packt
ISBN-13 9781804611302
Length 386 pages
Edition 2nd Edition
Languages
Tools
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Author (1):
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Soledad Galli Soledad Galli
Author Profile Icon Soledad Galli
Soledad Galli
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Toc

Table of Contents (14) Chapters Close

Preface 1. Chapter 1: Imputing Missing Data 2. Chapter 2: Encoding Categorical Variables FREE CHAPTER 3. Chapter 3: Transforming Numerical Variables 4. Chapter 4: Performing Variable Discretization 5. Chapter 5: Working with Outliers 6. Chapter 6: Extracting Features from Date and Time Variables 7. Chapter 7: Performing Feature Scaling 8. Chapter 8: Creating New Features 9. Chapter 9: Extracting Features from Relational Data with Featuretools 10. Chapter 10: Creating Features from a Time Series with tsfresh 11. Chapter 11: Extracting Features from Text Variables 12. Index 13. Other Books You May Enjoy

Extracting features from date and time

In Chapter 6, Extracting Features from Date and Time, we created various features from the date and time parts of datetime variables using pandas and Feature-engine. We can also extract multiple features from datetime variables, automatically utilizing Featuretools.

Featuretools supports the creation of various features from datetime variables using its datetime transform primitives. These primitives include the creation of features such as year, month, and day, and also other features such as is it lunch time or is it weekday?

Note

For more details on the features that can be created using datetime variables, visit https://featuretools.alteryx.com/en/stable/api_reference.html#datetime-transform-primitives.

In this recipe, we will automatically create multiple features from a datetime variable with Featuretools.

How to do it...

Let’s begin by importing the libraries and getting the dataset ready:

  1. First, we’...
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