Ensembling is a technique of combining two or more algorithms of similar or dissimilar types known as base learners. This is done to make a more robust system which incorporates the predictions from all the base learners. In this session, we will take you through the different methods to ensemble base learners in python.

This is a 1-hour Hack- Session and includes the following modules:

• What is Ensemble Learning and benefits?
• Types of Ensemble Learning with example
• 1. Average
  2. Vote
  3. Rank
  4. Stacking
  5. Blending