Learning Path

Linear Algebra Foundations → Hyperparameter Tuning

This learning path guides AI/ML students through the fundamental machine learning algorithms, starting from essential mathematical prerequisites and progressing through supervised and unsupervised learning methods. It covers linear regression, gradient descent, decision trees, k-means, and k-nearest neighbors, emphasizing the underlying concepts and mathematical foundations.