- Four modules with durations ranging from ~6 hours to 1 week each.
- Hands-on projects and exercises included for each topic.
- Self-paced format allows flexible scheduling.
- Covers fundamentals, decision trees, clustering, feature engineering, and ensemble methods.
- Ideal for learners seeking practical ML experience efficiently.
