This is the implementation of two linear classifiers - Logistic Regression and Gaussian Discriminant Analysis (GDA) from scratch. The aim is to see how both the classifier works and how they differ from each other. This also gives us a peek into generative and discriminative algorithms.
logreg.py - Implementation of Logistic Regression.
gda.py - Implementation of Gaussian Discriminant Analysis (GDA) Algorithm.
utils.py - Include utilities- loading dataset, adding intercept and plotting.