GitHub / Karthi-DStech / End-to-End-MLOps-Training-for-Insurance-Claims
The "Insurance Claims MLOps Lifecycle Automated Pipeline" GitHub project offers an efficient solution for insurance claim processing. Leveraging Azure services, it covers data engineering, model development, MLOps integration, deployment, and application. Automated pipelines streamline workflows, ensuring robust, scalable production environments.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Karthi-DStech%2FEnd-to-End-MLOps-Training-for-Insurance-Claims
PURL: pkg:github/Karthi-DStech/End-to-End-MLOps-Training-for-Insurance-Claims
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 77.1 KB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: deployment, end-to-end-ml-workflows, microsoft-azure, mlops