https://github.com/uddithmachiraju/jenkins-ml-pipeline
This project automates the end-to-end machine learning training pipeline using Jenkins, ensuring seamless integration and automation. When new data arrives or code is updated, the pipeline automatically preprocesses the data, trains a machine learning model, evaluates its performance, saves the model with versioning, and logs the entire workflow.
https://github.com/uddithmachiraju/jenkins-ml-pipeline
ci-cd-pipeline deployment jenkins mlops model-tracking pipeline random-forest-classifier versioning
Last synced: 7 months ago
JSON representation
This project automates the end-to-end machine learning training pipeline using Jenkins, ensuring seamless integration and automation. When new data arrives or code is updated, the pipeline automatically preprocesses the data, trains a machine learning model, evaluates its performance, saves the model with versioning, and logs the entire workflow.
- Host: GitHub
- URL: https://github.com/uddithmachiraju/jenkins-ml-pipeline
- Owner: uddithmachiraju
- Created: 2025-03-09T06:43:41.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-03-09T17:48:41.000Z (7 months ago)
- Last Synced: 2025-03-09T18:31:32.925Z (7 months ago)
- Topics: ci-cd-pipeline, deployment, jenkins, mlops, model-tracking, pipeline, random-forest-classifier, versioning
- Language: Jupyter Notebook
- Homepage:
- Size: 275 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0