MRSR - Matlab Recommender Systems Research is a software framework for evaluating collaborative filtering recommender systems in Matlab.

machine-learning octave neural-networks linear-regression logistic-regression multi-class-classification support-vector-machines k-means-clustering principal-component-analysis anomaly-detection recommender-systems

Regression, Classification, Regularization, Neural Networks, SVM, Clustering, Dimensionality Reduction etc

ML - Anomaly Detection & Recommender Systems - Python

Implementation of z-scoREC and ImposeSVD for top-N recommendations

Assignments of Machine Learning Course created by Stanford University taught by Andrew Ng

My coursework and lecture materials from the "Machine Learning" course on Coursera offered by Stanford