Skip to content

rliu054/machine-learning-from-scratch

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

26 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Implement Machine Learning Algorithms in Python

This repo implements some of the most common machine learning algorithms.

Catalog

  1. Naive Bayes
  2. Apriori
  3. AdaBoost
  4. Decision Tree & CART
  5. K Means
  6. K Nearest Neighbours
  7. PCA
  8. SVD
  9. SVM

Acknowledgement

Some of this code was borrowed from the wonderful Machine Learning in Action book.

I've done major refactorings as the original code is really messy and not PEP8 compliant.

About

Build classic machine learning algorithms from scratch.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published