- Emphasis on scikit-learn and Python ML ecosystem.
- Covers regression, classification, clustering, and ensemble techniques.
- Limited coverage of deep learning frameworks.
- Focus on model evaluation, pipelines, and deployment readiness.
- Ideal for beginners or those seeking practical ML without deep learning complexity.
