machine_learning_examples

Why we included this project

For anyone working through a machine learning course, having runnable example code often matters as much as the lectures. This repository is the companion codebase for the Lazy Programmer's video courses, with each top-level folder matching one course and covering linear regression, neural networks, RNNs, GANs, and reinforcement learning. Self-learners can open a folder, follow the scripts and notebooks alongside the videos, and adapt them to their own datasets. The author updates it as his courses change, which makes it a useful map of what a full ML curriculum looks like in practice. Students and instructors will find it handy for seeing how classic algorithms are actually implemented, even though the examples are deliberately instructional rather than production ready.