- Yes, includes linear/logistic regression, decision trees, and clustering.
- Teaches evaluation metrics for classification and regression models.
- Covers real datasets for hands-on ML exercises.
- Introduces recommender systems and association rules.
- Focuses on applying ML in data science workflows with R.
