In this course you will learn :
- Understand What is a Decision Tree and what are the benefits. What are the core objectives of Decision Tree modelling, How to understand the gains from the Decision Tree and How does one apply the same in business scenarios
- How to design the data for modelling
- How to ensure Data Sanity check and you will also learn to perform the necessary checks before modelling
- Learn to use R and the Algorithm to develop the Decision Tree.
- Understand how Classification trees are Developed, Validated and Used in the industry
- Understand the Advance stopping criteria of a decision tree. You will also learn to develop Decision Trees for numerous outcomes.