Machine Learning, From Scratch

Every core ML idea built by hand — the methodology (features, splits, metrics, validation) and one page per algorithm (supervised and unsupervised) — with the math, animated visuals of each method at work, and a head-to-head against the standard library.

37 of 37 chapters published. Pick any chapter from the contents — each one stands on its own and has its own shareable link.