Machine-Learning-at-Oxford

This repository contains my code for practicals (or projects/labs) of Machine Learning at Oxford.

• Practical 1: Linear Regression

  Applying linear regression (Ridge & Lasso regressions too) on the winequality dataset. See practical1/practical1.pdf for details.

• Practical 2 Naive Bayes Classifiers (NBC) v.s. Logistic Regression (LR)

  Comparing Naive Bayes Classifiers with Logistic Regression Classifiers. See practical2/practical2.pdf and paper On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes for more details.

• Practical 3 CNN for MNIST