Regression is a family of supervised learning methods that predict a continuous numerical value rather than a category: a price, a temperature, a quantity. The model learns the relationship between input features and the target from historical examples. Linear regression fits a straight line; more advanced variants capture complex patterns. A real-estate agency in Tangier could use regression to estimate apartment prices from surface area, neighborhood, and floor.