Data Sources and Quality:

Data sources used

Data quality assessment

Model Development:

Training process details

Model evaluation metrics

Code Quality

Consistency and coding standards.

Readability, maintainability, and documentation.

Optimizations and refactoring.

Model Deployment and Integration:

Deployment approach

Integration points with other systems

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Last updated 28 Aug 2023, 11:41 +0100 . history