Regression
A type of supervised learning task where the model predicts a continuous numerical value rather than a discrete category. The output can be any number within a range.
Why It Matters
Regression powers price prediction, demand forecasting, risk scoring, and any application where you need to predict a number rather than a category.
Example
Predicting a house price ($450,000) based on features like square footage, location, and number of bedrooms.
Think of it like...
Like estimating how long your commute will take based on the time of day, weather, and traffic conditions — the answer is a number, not a category.
Related Terms
Classification
A type of supervised learning task where the model predicts which category or class an input belongs to. The output is a discrete label rather than a continuous value.
Linear Regression
The simplest regression algorithm that models the relationship between input features and a continuous output as a straight line (or hyperplane in multiple dimensions). It minimizes the sum of squared errors.