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Regression is a supervised learning technique in machine learning used to predict continuous numerical values by analyzing relationships between input and output variables. The Best Linear Unbiased Estimator (BLUE) properties of Ordinary Least Squares (OLS) regression ensure efficient and unbiased estimates under specific assumptions. Logistic regression, a variant, is utilized for binary classification, predicting probabilities using a sigmoid function.

Author

koyameghbhanu

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EN