Technical project
Freight Rate Prediction
An end-to-end logistics ML pipeline for freight-rate prediction using chronological validation, CatBoost, reproducible training, release checks, automated testing, and production-style inference artifacts.
By Alaa Madi · Project record updated
Implementation areas and tools
- Python
- CatBoost
- Pandas
- Pytest
- CI
Inspect the work
Explore the linked source repository for implementation details and documented validation. View on GitHub.
This overview describes the implementation. It does not claim measured revenue, time savings or performance improvements for a client.
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