These are some simple machine learning algorithms I implemented.
Hope this can help beginners who are interested in R/Python programming or ML.

Models:

• Colaborative Filtering (R)
• Matrix Factorization (java)
• linear regression (python)
• logistic regression (python, R)
• Naive Bayes (python)
• Add SVM with SMO method (pyhton)
• Gaussian mixture model (python, PyMC)

TODO:

• add kernel functions in SVM
• add GLMNET in linear & logistic regression