This repositary contains all the codes for the Machine Learning Assignments (Fall 2015). The algorithms implemented are Linear Regression, Ridge Regression, Poisson Regression, Logistic Regression with L1,L2 regularisors, Naive Bayes, gaussian Naive Bayes for continuous features, Neural networks with various Kernels, an entire Machine Learning Experiment to run different hand coded classifiers with cross-validation and parameter tuning using a validation set.All of these codes are included in this Repositary.