Machine Learning Specialization

A three-course specialization taught by Andrew Ng that covers supervised learning (linear and logistic regression, neural networks, decision trees), unsupervised learning, recommender systems and reinforcement learning.

Labs are in Python with NumPy and scikit-learn, and the course assumes only basic coding and high-school maths.