This project follows a structured approach for machine learning development, deployment, and monitoring.
data/: Dataset storage and versioningmodels/: Trained and tuned modelsnotebooks/: Jupyter notebooks for experimentationsrc/: Source code for the projectdeployment/: Deployment configurationsci_cd/: CI/CD pipeline configurationstracking/: MLflow experiment trackingtests/: Unit and integration tests
[Instructions for setting up the project]
[Instructions for using the project]
[License information]