Linear Models: ContinuedExplores linear models, logistic regression, gradient descent, and multi-class logistic regression with practical applications and examples.
Linear and Logistic RegressionIntroduces linear and logistic regression, covering parametric models, multi-output prediction, non-linearity, gradient descent, and classification applications.
Linear Models for ClassificationExplores linear models for classification, logistic regression, decision boundaries, SVM, multi-class classification, and practical applications.
Supervised Learning EssentialsIntroduces the basics of supervised learning, focusing on logistic regression, linear classification, and likelihood maximization.
