- Unit testing ensures individual modules like data loaders or model trainers work correctly.
- System testing validates the entire pipeline end-to-end.
- Pytest integration allows automated and repeatable tests.
- Detects edge cases and prevents silent failures in production.
- Enhances confidence in deploying ML models to real-world environments.
