Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to G…

Machine learning programming exercises

Programming exercises for Stanford's machine learning class taught by Andrew Ng.

Course Projects for Machine Learning on Coursera