MachineLearning

This repository contains a few classification algorithms coded from scratch while taking the ENGN2520 Machine Learning course at Brown. The NaiveBayes and SVM folders contain hand-written digit classifiers using MNIST data and respectively implement a Naive Bayes classifier with maximum likelihood and a support vector machine with gradient descent. The GaussianMixture folder estimates a Gaussian Mixture model from simulated data. It estimates the model using an EM algorithm.