Linear Regression: BasicsCovers the basics of linear regression, binary and multi-class classification, and evaluation metrics.
Linear Regression: SimpleIntroduces simple linear regression, properties of residuals, variance decomposition, and the coefficient of determination in the context of Okun's law.
Linear Regression BasicsCovers the basics of linear regression, instrumental variables, heteroskedasticity, autocorrelation, and Maximum Likelihood Estimation.
Linear Regression BasicsCovers the basics of linear regression in machine learning, including model training, loss functions, and evaluation metrics.