Data Science
Implementation-first guide with clear tasks and evidence requirements.
Practical Tasks
- Select dataset with measurable objective
- Perform EDA and feature preparation
- Present findings with reproducible visuals
Evidence to Publish
- Screenshots/metrics showing completion
- Short README note for approach and tradeoffs
- Known limitations and next improvements
Review Checklist
- Task output is reproducible
- Edge cases were tested
- Repository structure is clean