What is the difference between classification and regression in machine learning?

What is the difference between classification and regression in machine learning?

Classification and regression are both types of supervised learning. Classification predicts discrete labels, while regression predicts continuous values.

Can you give me an example of classification?

Sure! An example of classification is email spam detection, where emails are classified as 'spam' or 'not spam'.

And what about regression? Can you provide an example?

An example of regression is predicting house prices based on features like size, location, and number of bedrooms.

How do I choose between classification and regression for my project?

Choose classification if your output is categorical and regression if your output is numerical. It depends on your data.