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Mastering Regression Algorithms: A Comprehensive Guide

  • Regression is a supervised learning technique used to predict continuous output based on input features.
  • Linear regression is a widely used algorithm that establishes a relationship between dependent and independent variables.
  • Optimization techniques like Gradient Descent are used to find the best-fit parameters in linear regression.
  • Ridge regression and Lasso regression are regularization techniques used to improve the performance of linear regression.

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