Meaning of Linear Regression (Machine Learning)

Simple definition

Linear regression in machine learning is an algorithm used to predict numerical values by learning a linear relationship between input features and a target variable.

How to use Linear Regression (Machine Learning) in a professional context

It is commonly applied in predictive analytics, such as forecasting demand, predicting house prices, or assessing risks in finance.

Concrete example of Linear Regression (Machine Learning)

A data scientist trains a linear regression model to predict house prices using features like square footage, number of bedrooms, and location.