Definition
Predicting continuous numerical values from input data.
Detailed Explanation
Regression involves modeling the relationship between a dependent continuous variable and one or more independent variables. The model predicts numerical outputs based on input features.
Use Cases
Housing price prediction stock market forecasting weather prediction demand estimation energy consumption forecasting.