# udacity/ML\_SageMaker\_Studies

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

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

udacity/ML\_SageMaker\_Studies, dépôt open source à 367 étoiles sur GitHub. Carte Alpha de RepoMasters. Case studies, examples, and exercises for learning to…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [udacity](https://repo.masters-masters.com/owners/udacity) |
| Étoiles | 367 |
| Forks | 406 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | MIT |
| Création | 2019 |
| Sujets | sagemaker-deployment, pytorch, time-series |
| Rang | [Alpha (250 à 699 ★)](https://repo.masters-masters.com/ranks/b_movie) |
| Voir sur GitHub | [udacity/ML\_SageMaker\_Studies](https://github.com/udacity/ML_SageMaker_Studies) |

## Fiche du dépôt

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

Rang des dépôts qui ont 250 à 699 ★ sur GitHub. Probabilité publiée par carte tirée : 20 %. Rareté : Peu commune.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.