/Machine-Learning-in-Action

My source code for the book "Machine Learning in Action"

Primary LanguagePython

Machine-Learning-in-Action

All my source code written when reading the book "Machine Learning in Action" are stored here. With (probably) my comments for each chapter in each folder.

Progress

  1. Ch02 - Classifying with k-Nearest Neighbors
  2. Ch03 - Splitting datasets one feature at a time: decision trees
  3. Ch04 - Classifying with probability theory: naive Bayes
  4. Ch05 - Logistic regression
  5. Ch06 - Support vector machines
  6. Ch07 - Improving classification with the AdaBoost meta-algorithm
  7. Ch08 - Predicting numeric values: regression
  8. Ch09 - Tree-based regression
  9. Ch10 - Grouping unlabeled items using k-means clustering
  10. Ch11 - Association analysis with the Apriori algorithm
  11. Ch12 - Efficiently finding frequent itemsets with FP-growth
  12. Ch13 - Using principal component analysis to simplify data
  13. Ch14 - Simplifying data with the singular value decomposition
  14. Ch15 - Big data and MapReduce