
Learning Outcomes:
-
Understand the fundamentals of machine learning.
-
Explore supervised and unsupervised learning techniques.
-
Implement basic recommender system algorithms.
-
Evaluate recommender systems using metrics like precision, recall, and RMSE.
-
Apply ML concepts in practical assignments and projects.
- Teacher: Site Owner







