This respository contains ML algoriths implemented in CSE 512 - Machine Learning course taken by Professor Franciso Orabona.

1. Linear Regression using polynomial basis functions (Lab 1)
2. Perceptron (Lab 2)
3. Ridge Regression (Lab 2)
4. SVM Primal (Lab 2)
5. Kernel Ridge Regression (Lab 3)
6. Kernel SVM (Lab 3)
7. Kmeans (Lab 4)

NOTE: I, personally have always underestimated Wikipedia, solely because it was Wikipedia. No other reason :P. But trust me, for studying machine learning, Wikipedia is the best resource. It gives appropriate derivations and summary of most of the topics.