Supervised learning is where most real-world machine learning lives — from forecasting sales to flagging fraud to sorting support tickets. If you can frame a problem as “here are examples with the right answers, now predict the answer for new cases”, this is the toolkit you reach for.
This course gives you the working mental models behind the two core tasks — regression and classification — and, just as important, how to tell whether a trained model is genuinely good. You will learn why accuracy alone can lie, what precision and recall really measure, and how to catch a model that has memorised instead of learned. No heavy maths, just the intuition practitioners actually use.