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Feature Engineering for Modern Machine Learning with Scikit-Learn. Mastering data preparation and transformation for robust ML models - Helion

Feature Engineering for Modern Machine Learning with Scikit-Learn. Mastering data preparation and transformation for robust ML models
ebook
Autor: Cuantum Technologies LLC
Tytuł oryginału: Feature Engineering for Modern Machine Learning with Scikit-Learn. Mastering data preparation and transformation for robust ML models
ISBN: 9781837026708
stron: 436, Format: ebook
Data wydania: 2025-01-23
Księgarnia: Helion

Cena książki: 143,10 zł (poprzednio: 159,00 zł)
Oszczędzasz: 10% (-15,90 zł)

Dodaj do koszyka Feature Engineering for Modern Machine Learning with Scikit-Learn. Mastering data preparation and transformation for robust ML models

Feature engineering is essential for building robust predictive models. This book delves into practical techniques for transforming raw data into powerful features using Scikit-Learn. You'll explore automation, deep learning integrations, and advanced topics like feature selection and model evaluation. Learn to handle real-world data challenges, enhance accuracy, and streamline your workflows.

Through hands-on projects, readers will gain practical experience with techniques such as clustering, pipelines, and feature selection, applied to domains like retail and healthcare. Step-by-step instructions ensure a comprehensive learning journey, from foundational concepts to advanced automation and hybrid modeling approaches.

By combining theory with real-world applications, the book equips data professionals with the tools to unlock the full potential of machine learning models. Whether working with structured datasets or integrating deep learning features, this guide provides actionable insights to tackle any data transformation challenge effectively.

Dodaj do koszyka Feature Engineering for Modern Machine Learning with Scikit-Learn. Mastering data preparation and transformation for robust ML models

 

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Dodaj do koszyka Feature Engineering for Modern Machine Learning with Scikit-Learn. Mastering data preparation and transformation for robust ML models

Spis treści

Feature Engineering for Modern Machine Learning with Scikit-Learn. Mastering data preparation and transformation for robust ML models eBook -- spis treści

  • 1. Real-World Data Analysis Projects
  • 2. Feature Engineering for Predictive Models
  • 3. Automating Feature Engineering with Pipelines
  • 4. Feature Engineering for Model Improvement
  • 5. Advanced Model Evaluation Techniques
  • 6. Introduction to Feature Selection with Lasso and Ridge
  • 7. Feature Engineering for Deep Learning
  • 8. AutoML and Automated Feature Engineering

Dodaj do koszyka Feature Engineering for Modern Machine Learning with Scikit-Learn. Mastering data preparation and transformation for robust ML models

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