The purpose of this teacher’s session is to introduce you to the theory and practice of Decision Trees and related Machine Learning (ML) model architectures. The session has been designed to enable you to teach the 

  • A1 Customer Satisfaction 
  • A5 Creditworthiness
  • A2 Fraud Detection

Prerequisites and time commitments

Before taking this session, you should have a basic knowledge of Machine Learning in general, corresponding to the contents of the teachers’ session called Introduction to Machine Learning. 

It is recommended that you spend around 6 hours completing the session.