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Course Outline
Requirements
- Experience with Python-based data analysis or machine learning for government applications
- Understanding of ETL processes and model training workflows in a public sector context
- Familiarity with version control systems and data pipeline tools used for government projects
Audience
- Data scientists working on the development and iteration of machine learning notebooks for government use
- Machine learning engineers responsible for designing training and inference pipelines in a public sector environment
- MLOps professionals overseeing model deployment and ensuring reproducibility for government initiatives
14 Hours
