Table of Contents for
Machine Learning with Python Cookbook

Version ebook / Retour

Cover image for bash Cookbook, 2nd Edition Machine Learning with Python Cookbook by Chris Albon Published by O'Reilly Media, Inc., 2018
  1. Cover
  2. nav
  3. Machine Learning with Python Cookbook
  4. Machine Learning with Python Cookbook
  5. Preface
  6. Vectors, Matrices, and Arrays
  7. Loading Data
  8. Data Wrangling
  9. Handling Numerical Data
  10. Handling Categorical Data
  11. Handling Text
  12. Handling Dates and Times
  13. Handling Images
  14. Dimensionality Reduction Using Feature Extraction
  15. Dimensionality Reduction Using Feature Selection
  16. Model Evaluation
  17. Model Selection
  18. Linear Regression
  19. Trees and Forests
  20. K-Nearest Neighbors
  21. Logistic Regression
  22. Support Vector Machines
  23. Naive Bayes
  24. Clustering
  25. Neural Networks
  26. Saving and Loading Trained Models
  27. Index
  28. About the Author
  29. Colophon

About the Author

Chris Albon is a data scientist and political scientist with a decade of experience applying statistical learning, artificial intelligence, and software engineering to political, social, and humanitarian efforts—from election monitoring to disaster relief. Currently, Chris is the Chief Data Scientist at BRCK, a Kenyan startup building a rugged network for frontier market internet users.