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GitHub / Abhi0323 / Real-Time-Customer-Segmentation-with-Scalable-Kubernetes-Deployment-and-CI-CD-Integration

Developed and deployed a scalable machine learning model for real-time customer segmentation using FastAPI, Docker, Kubernetes, and GitHub Actions, with an end-to-end CI/CD pipeline on Azure Kubernetes Service, enhancing targeted marketing strategies through robust and seamless integration and deployment

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Abhi0323%2FReal-Time-Customer-Segmentation-with-Scalable-Kubernetes-Deployment-and-CI-CD-Integration

Stars: 8
Forks: 6
Open issues: 0

License: None
Language: Python
Size: 22.4 MB
Dependencies parsed at: Pending

Created at: 11 months ago
Updated at: 7 months ago
Pushed at: 11 months ago
Last synced at: 6 months ago

Topics: azure, cicd, clustering-algorithm, docker, endtoendpipeline, githubactions, kubernetes-deployment, machinelearning

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