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Python Feature Engineering Cookbook

You're reading from   Python Feature Engineering Cookbook A complete guide to crafting powerful features for your machine learning models

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Product type Paperback
Published in Aug 2024
Publisher Packt
ISBN-13 9781835883587
Length 396 pages
Edition 3rd 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

Setting up an entity set and creating features automatically

Relational datasets or databases contain data spread across multiple tables, and the relationships between tables are dictated by a unique identifier that tells us how we can join those tables. To automate feature creation with featuretools, we first need to enter the different data tables and establish their relationships within what is called an entity set. The entity set then informs featuretools how these tables are connected so that the library can automatically create features based on those relationships.

We will work with a dataset containing information about customers, invoices, and products. First, we will set up an entity set highlighting the relationships between these three items. This entity set will be the starting point for the remaining recipes in this chapter. Next, we will create features automatically by aggregating the data at the customer, invoice, and product levels, utilizing the default parameters...

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