- The course focuses on advanced regression, classification, ensemble methods, and time series.
- Deep learning (neural networks) is not covered in detail.
- Emphasis is on predictive modeling with classical ML algorithms.
- Hands-on exercises reinforce traditional statistical learning techniques.
- Learners can explore deep learning separately with other R packages.
