Block 145: Capstone: Core Analysis or Model
Implement the central analytical or predictive component.
Concepts
- For ML projects: Pipeline + cross-validation + metric reporting
- For stats projects: hypothesis tests + effect sizes + CIs
- For NLP projects: vectorization + classifier or transformer
- For data explorer: aggregations + interactive visualization
Code Examples
See exercise below.
Exercise
Implement your project's core functionality. For ML: train 2 models, report metrics. For analysis: answer your main question with stats. For NLP: build and evaluate classifier. Write 3 'interim findings' cells in your notebook.
Homework
What would invalidate your results? List 3 threats to validity and how you're addressing them.