Capstone Project and Model Deployment

1. End-to-end data science project planning
2. Model interpretation and communication
3. MicroSim: Model comparison dashboard
4. Best practices and ethical considerations
5. Model deployment strategies
6. Documentation and reproducibility
7. Presenting data science findings