Linear Regression: BasicsCovers the basics of linear regression, binary and multi-class classification, and evaluation metrics.
Linear Models: BasicsIntroduces linear models in machine learning, covering basics, parametric models, multi-output regression, and evaluation metrics.
Linear Regression BasicsCovers the basics of linear regression in machine learning, including model training, loss functions, 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.
Model Building: Linear RegressionExplores model building in linear regression, covering techniques like stepwise regression and ridge regression to address multicollinearity.