- Certificate of completion - Free
- Tutor is available to students
The Decision Tree Modelling course is designed to provide knowledge and skills to become a Predictive analytics expert. Basic concepts like the Need for a model and Data design are covered along with advance concepts like Regression Tree, Pruning, CHAID and CART algorithms in the course curriculum.
Digital certificate - Included
After the completion of Decision Tree course at Edureka, you should be able to:
1. Understand the Anatomy of a Decision Tree
2. Learn to use the R platform to develop Decision Trees
3. Apply various Decision Tree techniques (CHAID / CART etc.)
4. Perform Decision Tree Model Validation
5. Learn where to use CHAID / CART / ID3,etc.
6. Learn to design data for Decision Tree modelling
7. Interpret and Implement Decision Tree model
8. Implement Decision Trees to derive business insights
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