learn-machine-learning-in-two-months

Why we included this project

This is a structured, self-paced curriculum for going from zero to a working grasp of machine learning in about two months, written by a Google Developer Expert in ML. Instead of a scattered list of links, it orders the material the way a mentor would: the math first, then Python, NumPy, and TensorFlow, then regression and classification problems, and finally deploying a model and running ML in the browser with TensorFlow.js. Each section pairs explanations with Jupyter notebooks and YouTube walkthroughs, so you can follow along with real code rather than just reading. It's a good fit for self-taught learners and small teams bringing someone new up to speed. The later sections move into applied work, with material on transfer learning, RNNs, and time-series data, so the course carries you past the fundamentals.