○ Time: 2 weeks
○ Details Needed: Access to historical data, Validation techniques (cross-validation)
○ Steps:
1. Access historical NFL data from the centralized data warehouse.
2. Implement cross-validation techniques to validate model accuracy and performance.
3. Conduct thorough testing on different subsets of data to ensure robustness.
4. Analyze and document model performance metrics.
○ Documentation:
§ Validation results and performance metrics.
§ Cross-validation configuration and results.
○ Major Milestone: Models tested and validated with historical NFL data.
○ GitHub Issue:
Validate Machine Learning Models with Historical NFL Data
Description: Test and validate machine learning models using historical NFL data.
Tasks:
Access historical NFL data from the centralized data warehouse.
Implement cross-validation techniques.
Conduct thorough testing and validation.
Document performance metrics.
Milestone: Models tested and validated with historical NFL data.
Validate Machine Learning Models with Historical NFL Data
Description: Test and validate machine learning models using historical NFL data. Tasks: