This repository provides Jon Krohn’s Machine Learning Foundations curriculum, covering eight subjects organized into four areas: Linear Algebra, Calculus, Probability and Statistics, and Computer Science. The notebooks build progressively and include hands-on code implementations using popular ML libraries like NumPy, TensorFlow, and PyTorch to demonstrate concepts.