https://github.com/monish-nallagondalla/winequality
This is an end-to-end data science project to predict the quality of red wine based on physicochemical properties using ElasticNet regression. The project leverages a modular ML pipeline with MLflow for experiment tracking, Dagshub for version control and collaboration, and a Flask-based web application for user interaction.
https://github.com/monish-nallagondalla/winequality
dagshub data-science elastic flask mlflow
Last synced: 9 days ago
JSON representation
This is an end-to-end data science project to predict the quality of red wine based on physicochemical properties using ElasticNet regression. The project leverages a modular ML pipeline with MLflow for experiment tracking, Dagshub for version control and collaboration, and a Flask-based web application for user interaction.
- Host: GitHub
- URL: https://github.com/monish-nallagondalla/winequality
- Owner: Monish-Nallagondalla
- License: gpl-3.0
- Created: 2025-06-04T18:10:34.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-05T22:13:50.000Z (about 1 year ago)
- Last Synced: 2026-07-19T07:39:04.722Z (9 days ago)
- Topics: dagshub, data-science, elastic, flask, mlflow
- Language: Jupyter Notebook
- Homepage:
- Size: 205 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
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Metadata Files:
- License: LICENSE