Course info

CO1 - Demonstrate the mathematical foundations of machine learning.

CO2 -Analyze linear and non-linear supervised learning techniques for classification.

CO3 -Apply the unsupervised algorithms for clustering the data.

CO4 -Design reinforcement learning models for adaptive learning.

CO5 -Apply probabilistic and evolutionary algorithms for handling uncertainty.