January 2025
Intermediate to advanced
436 pages
11h 10m
English
Content preview from Feature Engineering for Modern Machine Learning with Scikit-LearnBecome 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,
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8.3 Practical Exercises: Chapter 8
This practical exercise section provides hands-on experience with AutoML tools, focusing on automated feature engineering, model selection, and pipeline optimization. By working through these exercises, you’ll develop familiarity with using libraries like Featuretools, Auto-sklearn, and TPOT to streamline feature engineering and model building.
Exercise 1: Using Featuretools for Deep Feature Synthesis
Objective: Create new features from relational data using Featuretools’ deep feature synthesis.
Instructions:
- Define a set of related dataframes, including a customers table and a transactions table.
- Use Featuretools to generate features that aggregate transaction details at the customer level.
- Display the feature matrix ...
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