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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
Author Profile Icon John Sukup
John Sukup
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Toc

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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

A

accuracy 88

Adjusted Rand Index (ARI) 269

advanced clustering techniques 274-276

advanced logistic regression

multiclass logistic regression, evaluating 155

regularized logistic regression model, building 155

results, visualizing 155

agglomerative clustering 261-263

API usage

best practices 11, 12

Area Under the Curve (AUC) 153

artifact 332

B

Bag of Words (BoW) 218, 220

BentoML

URL 343

bias-variance trade-off 112

bootstrap aggregating (bagging) 193-197

C

Calinski-Harabasz index 270

categorical variables 15

ColumnTransformer() 29-31

encoding 25-27

encoding, with LabelEncoder() technique 29

encoding, with label encoding 28

encoding, with OneHotEncoder() technique 27

encoding, with One-hot encoding 27, 28

types 25

...
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83
Tech Concepts
36
Programming languages
73
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