This project demonstrates the implementation of Linear Regression, a fundamental supervised learning algorithm used to model the relationship between a dependent variable and one or more independent variables.
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This project implements Multiple Linear Regression to analyze and predict a continuous target variable using two or more independent features. Unlike single linear regression, multiple linear regression captures the combined effect of multiple predictors on the dependent variable, providing a more realistic and accurate model for real-world data.
pdt0208/Linear_Regression
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This project implements Multiple Linear Regression to analyze and predict a continuous target variable using two or more independent features. Unlike single linear regression, multiple linear regression captures the combined effect of multiple predictors on the dependent variable, providing a more realistic and accurate model for real-world data.
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