Machine learning Python notebooks

Edit a code cell, run it, inspect the output, and export your own working copy. Explore regression, classification, clustering and neural networks through small first-principles examples. Notebooks use teaching fixtures; some deep-learning examples demonstrate a forward pass rather than full training.

New to the concepts? Start with Guided Learning or browse the model explanations. Python runs locally through WebAssembly; your imported files and edits stay in this browser.