# aws/amazon-sagemaker-examples

<https://repo.masters-masters.com/repos/aws/amazon-sagemaker-examples>

[Accueil](https://repo.masters-masters.com/) › [aws](https://repo.masters-masters.com/owners/aws) › [amazon-sagemaker-examples](https://repo.masters-masters.com/repos/aws/amazon-sagemaker-examples)

aws/amazon-sagemaker-examples, dépôt open source à 11 001 étoiles sur GitHub. Carte Stable de RepoMasters. Example 📓 Jupyter notebooks that demonstrate how…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [aws](https://repo.masters-masters.com/owners/aws) |
| Étoiles | 11 001 |
| Forks | 6 944 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | Apache-2.0 |
| Création | 2017 |
| Sujets | sagemaker, aws, reinforcement-learning, machine-learning, deep-learning, examples, jupyter-notebook, mlops, data-science, training |
| Rang | [Stable (5 000 à 19 999 ★)](https://repo.masters-masters.com/ranks/cult) |
| Voir sur GitHub | [aws/amazon-sagemaker-examples](https://github.com/aws/amazon-sagemaker-examples) |

## Fiche du dépôt

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Rang des dépôts qui ont 5 000 à 19 999 ★ sur GitHub. Probabilité publiée par carte tirée : 0,9 %. Rareté : Très rare.

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Données : GitHub · Illustration : image publique du projet, pixelisée par RepoMasters.