Course Objectives:

  ·        To understand human learning aspect and relate it with machine learning concepts.

·        To understand nature of the problem and apply machine learning algorithm.

·        To find optimized solution for given problem.

Course Outcomes:

On completion of the course, student will be able to–

·        Distinguish different learning based applications

·        Apply different preprocessing methods to prepare training data set for machine learning.

·        Apply different methods of data preprocessing to input dataset.

·        Design and implement supervised machine learning algorithm.

·        Implement different supervised learning models

·        Learn Meta classifiers and deep learning concepts