Built E2E ML Pipeline with MLflow & AWS.
- Part I - Streamline ML Workflow with MLflow - I
- Part II - Streamline ML Workflow with MLflow - II
- Part III - Configure DVC with Amazon S3 Bucket
- Part IV - Deploy MLflow Server on EC2 Instance
- Clone the repository.
- Install dependencies using
pip install -r requirements.txt
/.github: Contains CI/CD workflow file./.dvc: Contains configuration files of DVC/data: Stores raw and processed data./log: Store the logs./src: Contains the source code files./prod: Production files./tests: Testing files.
- Download the dataset from here.
Project based on the cookiecutter data science project template.