Regression models are a type of supervised learning algorithm used in statistics and machine learning to model the relationship between a dependent variable (the target) and one or more independent variables (the predictors). They are commonly used for prediction and forecasting, where the goal is to estimate the value of the dependent variable based on the values of the independent variables. Different types of regression models exist, including linear regression, polynomial regression, and logistic regression, each suited to different types of data and relationships.
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