Second Machine Learning Assignment of the course BITS F464. Implemented Naive Bayes from scratch over both categorical and continuous data, while running performance metric comparisons with K Nearest Neighbours and Logistic Regression. Ran tests over Naive Bayes with Laplace Smoothing and without Laplace Smoothing. Also included -- Basic ANNs in TensorFlow.
The assignment has been uploaded to GitHub after it was submitted so as to maintain a record.