This repository provides Python re-implementations of the programming assignments from Andrew Ng’s popular Machine Learning course on Coursera. It covers fundamental ML topics including linear regression, logistic regression, regularization, neural networks, support vector machines, anomaly detection, and principal component analysis. Users work through the assignments step-by-step, visualizing results along the way using numpy, scipy, scikit-learn, and matplotlib.