A free, hands-on course that teaches R and machine learning with health data, starting from zero.
Level
Beginner to intermediate. No coding background needed.
Scope
Six parts and four appendices, taught on a dataset of 600 fabricated examples: R foundations, a complete supervised machine learning workflow, more supervised methods, unsupervised learning, other kinds of learning, and choosing and comparing methods, ending in a capstone.