This repository contains implementation of the Various Machine Learning Algorithms like Supervised & Unsupervised Learning Introduction Regression and Classification Linear regression Logistic Regression Bias variance tradeoff / overfitting, regularization Cross validation and Support Vector Machines Decision trees Ensemble methods Neural Networks Neural Networks (cont.), Instance based learning Unsupervised Learning (Clustering: K-Means, Expectation Maximization) Randomized optimization, Dimensionality reduction, feature selection Feature transformation Reinforcement learning - View it on GitHub