High-level overview of the machine learning workflow
Strengths
Comprehensive workflow coverage
The curriculum spans the entire machine learning lifecycle, including data preparation, core algorithm types (classification, regression, clustering), model evaluation, and deployment/monitoring.
Structured lifecycle progression
The course organizes topics logically from initial ML overviews through to model monitoring and deployment.









