Regression is a type of Supervised Learning in which the goal is to predict a continuous value output by applying a mathematical function to the input features. Example: Predicting house prices based on square footage, location, and other factors.
Regression is a type of Supervised Learning in which the goal is to predict a continuous value output by applying a mathematical function to the input features. Example: Predicting house prices based on square footage, location, and other factors.