- Covers decision trees, random forests, regression, and K‑means clustering.
- Teaches ensemble methods and boosting for improving model accuracy.
- Includes hands-on projects for training, validation, and evaluation.
- Focuses on real-world predictive modeling applications.
- Prepares learners to apply ML in diverse business and technical scenarios.
