# aws-samples/sagemaker-ml-workflow-with-apache-airflow

<https://repo.masters-masters.com/en/repos/aws-samples/sagemaker-ml-workflow-with-apache-airflow>

[Home](https://repo.masters-masters.com/en) › [aws-samples](https://repo.masters-masters.com/en/owners/aws-samples) › [sagemaker-ml-workflow-with-apache-airflow](https://repo.masters-masters.com/en/repos/aws-samples/sagemaker-ml-workflow-with-apache-airflow)

aws-samples/sagemaker-ml-workflow-with-apache-airflow has 137 stars on GitHub. Its RepoMasters card: Prototype tier. This repository shows a sample example to…

| Field | Value |
| --- | --- |
| Owner | [aws-samples](https://repo.masters-masters.com/en/owners/aws-samples) |
| Stars | 137 |
| Forks | 80 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT-0 |
| Created | 2019 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [aws-samples/sagemaker-ml-workflow-with-apache-airflow](https://github.com/aws-samples/sagemaker-ml-workflow-with-apache-airflow) |

## Repository

This repository shows a sample example to build, manage and orchestrate Machine Learning workflows using Amazon Sagemaker and Apache Airflow.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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