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developer-roadmap/roadmaps/machine-learning/content/regression@gKu6tnpTO2PhDDMYp2u7F.md
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Regression

Regression in supervised learning is a method used to predict a continuous numerical value. It works by finding the relationship between input features (independent variables) and a target variable (dependent variable). The goal is to build a model that can accurately estimate the target variable's value based on the given input features. For example, predicting house prices based on size and location is a regression problem.