/mlflow-pipeline

Built an E2E MLFlow Pipeline & hosted on AWS.

Primary LanguagePythonMIT LicenseMIT

MLflow Pipeline

Built E2E ML Pipeline with MLflow & AWS.

Workflow

Drawing

Blogs

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.

Project based on the cookiecutter data science project template.