Machine Learning II year 2022-23

COURSE OUTCOMES Upon successful completion of the course, the students will be able to CO1: Describe the basic concepts of machine learning. (K2) CO2: Discuss supervised learning and classification techniques. (K2) CO3: Apply the concept of unsupervised learning and Clustering for applications. (K3) CO4: Describe the concept of Dimensionality Reduction. (K2) CO5: Infer theoretical and practical aspects of reinforcement learning (K2)