Supervised learning is where a computer algorithm is trained on input data that has been labeled for a particular output. For example, a shape with three sides is labeled as a triangle, Classification and Regression models are also types of supervised learning.
Classification- Classification in which the algorithm’s job is to separate the labeled data to predict the output. Example: to predict the weather which of them is apple and pineapple.
Regression- Regression is a type of supervised learning which is used to predict continuous value. Example: Regression is used to predict the weather. it is also used widely for weather forecasting
Study more about Supervised Learning at Supervised Learning Class 10