Linear Regression Algorithm Explanation…

December 30, 2022 ⚊ 1 Min read ⚊ Views 92 ⚊ TECH

The linear regression algorithm is an example of a machine learning method that is based on supervised learning. Explanatory variables are used by regression to make predictions. This method is mostly used for making predictions and studying the relationships between different variables. The relationship between the dependent and independent variables and the number of independent variables make one regression model different from another. Regression variables have several names. Also called an outcome variable, a criterion variable, a regressand, or an endogenous variable. These are the outside variables, predictors, or regressors.

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