Machine Learning project checklist
Review the work from problem definition to evaluation and handover, recording evidence and follow-up actions.
- Assign each item a status: not started, in progress, complete, or not applicable.
- Attach evidence for completed items and explain why any item is not applicable.
- Resolve leakage and evaluation issues before presenting a model as ready for use.