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scikit-learn Cookbook

You're reading from   scikit-learn Cookbook Over 80 recipes for machine learning in Python with scikit-learn

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Product type Paperback
Published in Dec 2025
Publisher Packt
ISBN-13 9781836644453
Length 388 pages
Edition 3rd Edition
Languages
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Author (1):
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John Sukup John Sukup
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John Sukup
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Table of Contents (17) Chapters Close

Preface 1. Chapter 1: Common Conventions and API Elements of scikit-learn 2. Chapter 2: Pre-Model Workflow and Data Preprocessing FREE CHAPTER 3. Chapter 3: Dimensionality Reduction Techniques 4. Chapter 4: Building Models with Distance Metrics and Nearest Neighbors 5. Chapter 5: Linear Models and Regularization 6. Chapter 6: Advanced Logistic Regression and Extensions 7. Chapter 7: Support Vector Machines and Kernel Methods 8. Chapter 8: Tree-Based Algorithms and Ensemble Methods 9. Chapter 9: Text Processing and Multiclass Classification 10. Chapter 10: Clustering Techniques 11. Chapter 11: Novelty and Outlier Detection 12. Chapter 12: Cross-Validation and Model Evaluation Techniques 13. Chapter 13: Deploying scikit-learn Models in Production 14. Chapter 14: Unlock Your Exclusive Benefits 15. Index 16. Other Books You May Enjoy

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