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Python Feature Engineering Cookbook. A complete guide to crafting powerful features for your machine learning models - Third Edition - Helion

Python Feature Engineering Cookbook. A complete guide to crafting powerful features for your machine learning models - Third Edition
ebook
Autor: Soledad Galli, Christoph Molnar
Tytuł oryginału: Python Feature Engineering Cookbook. A complete guide to crafting powerful features for your machine learning models - Third Edition
ISBN: 9781835883594
stron: 396, Format: ebook
Data wydania: 2024-08-30
Księgarnia: Helion

Cena książki: 129,00 zł

Dodaj do koszyka Python Feature Engineering Cookbook. A complete guide to crafting powerful features for your machine learning models - Third Edition

Tagi: Big Data | Python - Programowanie

Streamline data preprocessing and feature engineering in your machine learning project with this third edition of the Python Feature Engineering Cookbook to make your data preparation more efficient.
This guide addresses common challenges, such as imputing missing values and encoding categorical variables using practical solutions and open source Python libraries.
You’ll learn advanced techniques for transforming numerical variables, discretizing variables, and dealing with outliers. Each chapter offers step-by-step instructions and real-world examples, helping you understand when and how to apply various transformations for well-prepared data.
The book explores feature extraction from complex data types such as dates, times, and text. You’ll see how to create new features through mathematical operations and decision trees and use advanced tools like Featuretools and tsfresh to extract features from relational data and time series.
By the end, you’ll be ready to build reproducible feature engineering pipelines that can be easily deployed into production, optimizing data preprocessing workflows and enhancing machine learning model performance.

Dodaj do koszyka Python Feature Engineering Cookbook. A complete guide to crafting powerful features for your machine learning models - Third Edition

 

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Dodaj do koszyka Python Feature Engineering Cookbook. A complete guide to crafting powerful features for your machine learning models - Third Edition

Spis treści

Python Feature Engineering Cookbook. A complete guide to crafting powerful features for your machine learning models - Third Edition eBook -- spis treści

  • 1. Imputing Missing Data
  • 2. Encoding Categorical Variables
  • 3. Transforming Numerical Variables
  • 4. Performing Variable Discretization
  • 5. Working with Outliers
  • 6. Extracting Features from Date and Time Variables
  • 7. Performing Feature Scaling
  • 8. Creating New Features
  • 9. Extracting Features from Relational Data with Featuretools
  • 10. Creating Features from a Time Series with tsfresh
  • 11. Extracting Features from Text Variables

Dodaj do koszyka Python Feature Engineering Cookbook. A complete guide to crafting powerful features for your machine learning models - Third Edition

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