Linear and Logistic RegressionIntroduces linear and logistic regression, covering parametric models, multi-output prediction, non-linearity, gradient descent, and classification applications.
Linear Models & k-NNCovers linear models, logistic regression, decision boundaries, k-NN, and practical applications in authorship attribution and image data analysis.
Linear Models: Part 2Covers linear models, binary and multi-class classification, and logistic regression with practical examples.