Conversion Rate MLOps Repository

This repository showcases the productionized version of the original Conversion Rate challenge, refactored from notebook-first experimentation into a deployable ML service-style project.

What was improved

• Split the initial multi-project repository into three dedicated repos to improve ownership and deployment scope:
  • https://github.com/lnilluv/conversion-rate-mlops
  • https://github.com/lnilluv/uber-hotzone-ml
  • https://github.com/lnilluv/walmart-sales-forecast
• Introduced hexagonal architecture in production paths (domain, application, adapters, bootstrap)
• Added CLI entrypoints for deterministic local/VPS execution
• Added smoke tests and Docker workflows for reproducible runtime checks
• Hardened repository security posture (.env strategy, artifact ignore rules, dependency audits)

Active project in this repo

• conversion_rate/

Quick start

cd conversion_rate
export PYTHONPATH=src
python3 -m unittest discover -s tests/unit -p 'test_*.py'
./scripts/smoke_test.sh