MLflow Pipeline

Built E2E ML Pipeline with MLflow & AWS.

Workflow

Blogs

• 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

Installation

1. Clone the repository.
2. Install dependencies using pip install -r requirements.txt

Folder Structure

• /.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.

Dataset

• Download the dataset from here.

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Project based on the cookiecutter data science project template.