Agile-MLOps-Deployment-Docker-AWS-CI-CD-Pipeline

An end-to-end predictive maintenance application using machine learning to enhance industrial efficiency. This project employs robust modular architecture and advanced MLOps practices, including Docker and AWS for scalable, real-time maintenance predictions.

deployment

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32 Stars

7 Forks

1 Watchers

Python Language

81.8 SrcLog Score

Cost to Build

$68.6K

Market Value

$79.0K

How is this calculated?

Growth over time

4 data points · 2026-04-10 → 2026-07-25

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What is the Abhi0323/Agile-MLOps-Deployment-Docker-AWS-CI-CD-Pipeline GitHub project? Description: "An end-to-end predictive maintenance application using machine learning to enhance industrial efficiency. This project employs robust modular architecture and advanced MLOps practices, including Docker and AWS for scalable, real-time maintenance predictions.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone Agile-MLOps-Deployment-Docker-AWS-CI-CD-Pipeline

Clone via HTTPS

git clone https://github.com/Abhi0323/Agile-MLOps-Deployment-Docker-AWS-CI-CD-Pipeline.git

Clone via SSH

[email protected]:Abhi0323/Agile-MLOps-Deployment-Docker-AWS-CI-CD-Pipeline.git

Download ZIP

Download main.zip

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Report bugs or request features on the Agile-MLOps-Deployment-Docker-AWS-CI-CD-Pipeline issue tracker:

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