This repository consists of work done in Machine Learning and Signal Processing. Machine Learning Stage consists of: * K-means * Expectation Maximization * Principal Component Analysis (PCA) * Mixture Models * Hidden Markov Models (HMM) * Graphical Models * Gibbs Sampling * Manifold Learning * Hashing Signal Processing Stage consists of : * Source Separation * Stereo Matching * Audio Processing * Fourier Transform * Brain Waves * Keyword Detection * Sentiment Analysis * Music Signal Processing * Image Segmentation