Linear Models: ContinuedExplores linear models, logistic regression, gradient descent, and multi-class logistic regression with practical applications and examples.
Linear Models: BasicsIntroduces linear models in machine learning, covering basics, parametric models, multi-output regression, and evaluation metrics.
Nonparametric RegressionCovers nonparametric regression, scatterplot smoothing, kernel methods, and bias-variance tradeoff.