Regression
Definition
A supervised learning task where the model predicts a continuous numerical value rather than a category.In-Depth Explanation
Unlike classification which predicts discrete categories, regression predicts continuous values. Linear regression finds the best-fit line through data points, while more complex models can capture non-linear relationships. Applications include predicting prices, temperatures, sales figures, and any scenario requiring numerical forecasting.
Real-World Example
A real estate model predicting house prices based on features like square footage, location, and number of bedrooms.