https://github.com/sagarchhabriya/mlops

A production-grade MLOps pipeline for predictive maintenance using MLflow, Dockers, AWS, and Kubernetes. Implements end-to-end machine learning lifecycle management, including data versioning, model training, deployment, monitoring, and retraining automation.
https://github.com/sagarchhabriya/mlops

aws cicd docker git github github-actions jenkins kubernetes mlflow terraform

Last synced: 3 months ago
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A production-grade MLOps pipeline for predictive maintenance using MLflow, Dockers, AWS, and Kubernetes. Implements end-to-end machine learning lifecycle management, including data versioning, model training, deployment, monitoring, and retraining automation.

• Host: GitHub
• URL: https://github.com/sagarchhabriya/mlops
• Owner: SagarChhabriya
• Created: 2025-04-05T16:20:16.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-08T20:01:00.000Z (about 1 year ago)
• Last Synced: 2025-04-09T19:53:57.401Z (about 1 year ago)
• Topics: aws, cicd, docker, git, github, github-actions, jenkins, kubernetes, mlflow, terraform
• Language: HTML
• Homepage:
• Size: 16.6 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# MLOps

1. [https://kodekloud.com/pages/free-labs](https://kodekloud.com/pages/free-labs)