Machine Learning in Urdu: LUMS Fall 2021 (Agha Ali Raza)

A full university machine learning course recorded at LUMS and taught in Urdu/Hindi: 77 lectures and about 43 hours. It builds the supervised learning setup carefully, then covers K-nearest neighbours in depth (distances, error bounds, curse of dimensionality), the confusion matrix, precision, recall, F-score, ROC and AUC, linear regression from lines and hyperplanes upward, decision trees, boosting and PCA. The pace and mathematics are those of a real semester course, so it suits university students and serious self-learners who want the theory, not just library calls.