- Explain in non technical terms how a Decision Tree splits the data
- Describe the anatomy of a Decision Tree using technical terms
- Explain in non technical terms purity/entropy and their role in the Decision Tree learner
- List pros and cons of using Decision Trees
- List types of data/problems where Decision Trees could perform better than other learners
- Train a Decision Tree Classifier and Regressor
- Evaluate the performance of Decision Tree models
- Interprete the importance of the features in a Decision Tree model
- Visualise a Decision Tree model