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.