Shivasairam1706 / MLOps-Project1 Public

Notifications You must be signed in to change notification settings
Fork 0
Star 0

End-to-end ML-Ops project using PySpark and AWS, covering environment setup, model training, deployment with data capture, execution, and analysis. CI/CD pipelines (AWS CodePipeline) and monitoring (CloudWatch) ensure automated deployment, performance tracking, and model retraining for production-ready ML solutions.

0 stars 0 forks Branches Tags Activity

Notifications

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
README.md		README.md

Repository files navigation

MLOps-Project: forcasting model using bitcoin data

About

End-to-end ML-Ops project using PySpark and AWS, covering environment setup, model training, deployment with data capture, execution, and analysis. CI/CD pipelines (AWS CodePipeline) and monitoring (CloudWatch) ensure automated deployment, performance tracking, and model retraining for production-ready ML solutions.

docker aws data-science aws-lambda aws-s3 data-visualization pyspark data-engineering unix-shell forcasting delta-lake mlops-project

Report repository

Releases

No releases published

Packages

No packages published