Linear Models: Part 2Covers linear models, binary and multi-class classification, and logistic regression with practical examples.
Linear Models: ContinuedExplores linear models, logistic regression, gradient descent, and multi-class logistic regression with practical applications and examples.
Regression: Interactive LectureCovers linear regression, weighted regression, locally weighted regression, support vector regression, noise handling, and eye mapping using SVR.