What are regression. Explain different types of regression

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Regression is a statistical method used to analyze the relationship between variables. Different types include linear, logistic, polynomial, etc.

Regression is a statistical technique used to understand the relationship between a dependent variable and one or more independent variables.
Different types of regression include linear regression, logistic regression, polynomial regression, ridge regression, and lasso regression.
Linear regression is used when the relationship between variables is linear, logistic regression is used for binary outcomes, and polynomial regression fits a curve to the data.
Ridge regression and lasso regression are used for regularization to prevent overfitting in models.

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