What is Regression in Machine Learning

Regression is a type of supervised learning used to predict continuous numerical values, rather than fixed categories. In simple terms, regression answers questions like "how much" or "how many."

Imagine you want to predict a house price. The price is not one of a few fixed options; it can be any number, like 45 lakhs, 52.5 lakhs, or 60 lakhs, depending on features like size, location, and number of rooms. This is exactly the kind of problem regression is built for.

Where regression is used in real life

• Predicting house prices based on size, location, and amenities.
• Estimating a person's salary based on experience and education.
• Forecasting next month's sales based on past trends.
• Predicting temperature for the next few days.

The core idea behind regression is to find a relationship between input variables and a numerical output, then use that relationship to predict outcomes for new, unseen data.