- Provide a theoretical overview of Tree-based Machine Learning Techniques.
- Provide a technical and practical overview of Decision Trees for Classification and Regression Problems.
- Understand how to interpret these models and evaluate them.

- Understand how to design, develop, and interpret Tree-based Machine Learning Models in R.
- Using the packages tidyverse, caret & rpart.