# udacity/ML\_SageMaker\_Studies

<https://repo.masters-masters.com/en/repos/udacity/ML_SageMaker_Studies>

[Home](https://repo.masters-masters.com/en) › [udacity](https://repo.masters-masters.com/en/owners/udacity) › [ML\_SageMaker\_Studies](https://repo.masters-masters.com/en/repos/udacity/ML_SageMaker_Studies)

udacity/ML\_SageMaker\_Studies has 367 stars on GitHub. Its RepoMasters card: Alpha tier. Case studies, examples, and exercises for learning to deploy ML models…

| Field | Value |
| --- | --- |
| Owner | [udacity](https://repo.masters-masters.com/en/owners/udacity) |
| Stars | 367 |
| Forks | 406 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | MIT |
| Created | 2019 |
| Topics | sagemaker-deployment, pytorch, time-series |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [udacity/ML\_SageMaker\_Studies](https://github.com/udacity/ML_SageMaker_Studies) |

## Repository

Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.