Differentiate between Classification and Regression in Machine Learning

ayujain0201

I know what Classification is in ML and regression in ML. Can you differentiate between Classification and Regression in Machine Learning?

Sunidhi_1234

Classification and Regression are two fundamental concepts within Machine Learning. Classification is a technique used to categorize data points into specific classes or groups based on certain features or characteristics. For example, if we want to classify whether an email is spam or not, we can look at various features such as the sender, subject, and content to determine which class it belongs to.
Regression, on the other hand, is a technique used to predict a continuous numerical value based on a set of input variables or features. For example, if we want to predict house prices, we can use regression to predict the house price based on the features such as location, size, and several rooms.
While classification is concerned with the prediction of categorical variables, regression is concerned with the prediction of continuous variables. Both these techniques are essential for solving different types of Machine Learning problems and can be used together in many applications.