GitHub - DustinAlandzes/machine-learning-with-python-cookbook-notes: (Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form
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(Part of) Chris Albon's Machine Learning with Python Cookbook in .ipynb form - DustinAlandzes/machine-learning-with-python-cookbook-notes
  1. Vectors, Matrices, and Arrays.ipynb
  2. Loading Data.ipynb
  3. Data Wrangling.ipynb
  4. Handling Numerical Data.ipynb
  5. Handling Categorical Data.ipynb
  6. Handling Text.ipynb
  7. Handling Dates and Times.ipynb
  8. missing
  9. missing
  10. missing
  11. Model Evaluation.ipynb
  12. Model Selection.ipynb
  13. Linear Regression.ipynb
  14. Trees and Forests.ipynb
  15. K-Nearest Neighbors.ipynb
  16. Logistic Regression.ipynb
  17. Support Vector Machines.ipynb
  18. Naive Bayes.ipynb
  19. Clustering.ipynb
  20. missing
  21. Saving and Loading Trained Models.ipynb