- Introduces basic regression, classification, and K-means clustering.
- Focuses on practical applications in business scenarios.
- Model evaluation and interpretation of results are taught for insight-driven analysis.
- Advanced ML topics like deep learning are not covered.
- Learners can pursue specialized courses for deeper machine learning skills.
