tutorials

Why we included this project

This repository gathers the notebooks and scripts behind 莫烦Python (MorvanZhou), a tutorial series that many Chinese-speaking developers use to get started with machine learning. It moves from Python basics through threading and multiprocessing, then into NumPy, pandas, and Matplotlib for handling data, before covering the main deep learning frameworks such as TensorFlow, PyTorch, Keras, and Scikit-Learn, with a separate section on reinforcement learning. Because each topic comes with short runnable examples tied to the author's site and video lessons, it reads like a guided course rather than a pile of disconnected snippets. Beginners and working engineers refreshing their fundamentals get the most value here, including practical classification and regression exercises and a look at evolutionary algorithms, though anyone shipping production ML systems should look elsewhere。