Machine learning pipelines
Automated pipelines with caching that cut out repeated work and make data faster to reach for ML tasks.
- Year
- 2024
- Tools
- Python, scikit-learn, Caching, Automation
The aim
Create machine learning pipelines that cache data and automate repetitive processes.
What we did
- Built automated pipelines for data ingestion and preprocessing.
- Added caching so repeat runs don’t redo finished work.
- Made the pipelines reliable and able to scale with data volume.
What we delivered
- Working ML pipelines with caching and automation.
- Performance benchmarks and scalability tests.
- Documentation for maintenance and future enhancements.
The outcome
Pipelines that remove redundant tasks and handle data faster, so the team gets more done.