Regression

Regression is a type of supervised learning where the goal is to predict a continuous output variable based on one or more input features. Unlike classification, where the output is categorical, regression deals with numerical values.

Common use cases for regression include:

• Predicting house prices based on features like size, location, and number of bedrooms.
• Forecasting stock prices based on historical data.
• Estimating sales figures based on marketing spend and other factors.

Main algorithms used for regression tasks include:

• Linear Regression
• Decision Trees
• Random Forest
• Gradient Boosting
• Support Vector Machines