CO1   :  Comprehend machine learning solutions to classification, regression and clustering problems

CO2   :  Understand the strengths and weaknesses of many popular machine learning approaches.

CO3   :  Interpret the results of the algorithms.

CO4   :  Select suitable model parameters for different machine learning techniques.

CO5   :  Design algorithms for real world problems using machine learning algorithm.

CO6   :  Gain experience of doing independent study and research.