MNIST with K-Nearest Neighbors & Naive Bayes This contains the first assignment for the Machine Learning course: Developing an image recognition system for classifying digits Models used: K-Nearest Neighbors Linear Regression Naive Bayes: Bernoulli, Multinomial and Gaussian