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https://github.com/datadrivers/effective-guide-mlops
Example end-to-end ml pipeline build with the Sagemaker Python SDK
https://github.com/datadrivers/effective-guide-mlops
aws aws-api-gateway aws-apigateway aws-sagemaker data-science deep-learning machine-learning mlops mlops-environment mlops-workflow python scikit-learn scikitlearn-machine-learning
Last synced: about 2 months ago
JSON representation
Example end-to-end ml pipeline build with the Sagemaker Python SDK
- Host: GitHub
- URL: https://github.com/datadrivers/effective-guide-mlops
- Owner: datadrivers
- License: apache-2.0
- Created: 2021-08-24T08:52:20.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2021-12-16T14:36:11.000Z (about 3 years ago)
- Last Synced: 2023-03-03T20:38:47.857Z (almost 2 years ago)
- Topics: aws, aws-api-gateway, aws-apigateway, aws-sagemaker, data-science, deep-learning, machine-learning, mlops, mlops-environment, mlops-workflow, python, scikit-learn, scikitlearn-machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 490 KB
- Stars: 3
- Watchers: 1
- Forks: 1
- Open Issues: 0