Answer / Ashish Babu

Regression in Machine Learning is a statistical technique used for predicting continuous outcomes, such as numerical values. It finds the relationship between independent variables (predictors) and a dependent variable (response) to create a regression model that can make predictions on new data points. Common types of regression include Linear Regression, Polynomial Regression, Logistic Regression, and Ridge Regression.

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