Explores linear models for classification, including logistic regression, decision boundaries, and support vector machines.
Introduces logistic regression for binary classification and explores multiclass classification using OvA and OvO strategies.
Explores linear models for classification, logistic regression, decision boundaries, SVM, multi-class classification, and practical applications.
Explores linear models for classification, including parametric models, regression, and logistic regression, along with model evaluation metrics and maximum margin classifiers.
Covers the concept of multiclass classification and the challenges of linearly separating data with multiple classes.
