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Understanding Linear Regression in ML by ajinkyaudmale1774 is a document available to read on EtoBox.
Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables, providing insights for prediction and data analysis. It can be categorized into simple linear regression, which involves one independent variable, and multiple linear regression, which involves multiple independent variables. Key assumptions for linear regression include linearity, independence, homoscedasticity, and normality, ensuring the model
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