What is regression?

Regression is a common task in supervised machine learning aiming to estimate the relationship between variables and predict a continuous outcome. On the contrary to the classification, regression does not have a predefined set of classes, and it predicts numerical values.

An example of regression would be a stock price prediction or temperature forecasting.

Why is it important?

Regression is commonly used for forecasting and evaluating trends in various fields. For example, predicting stock prices, sales, revenues, consumer demand, etc., gives you an overview of possible future events and allows you to adjust your processes accordingly.