{"id":23317192,"url":"https://github.com/adnksharp/azure-ml-craft","last_synced_at":"2026-01-20T15:32:58.544Z","repository":{"id":135391495,"uuid":"501708746","full_name":"adnksharp/Azure-ML-Craft","owner":"adnksharp","description":"Primer Notebook de Machine Learning Studio en Azure","archived":false,"fork":false,"pushed_at":"2023-06-28T02:39:02.000Z","size":1968,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"base","last_synced_at":"2025-04-07T03:53:41.422Z","etag":null,"topics":["azure-machine-learning"],"latest_commit_sha":null,"homepage":"","language":null,"has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/adnksharp.png","metadata":{"files":{"readme":"Readme.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-06-09T15:26:26.000Z","updated_at":"2023-06-27T13:55:31.000Z","dependencies_parsed_at":null,"dependency_job_id":"0f9846b3-95af-434a-ae68-781b21eb8f32","html_url":"https://github.com/adnksharp/Azure-ML-Craft","commit_stats":null,"previous_names":["adnksharp/azure-ml-craft"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adnksharp%2FAzure-ML-Craft","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adnksharp%2FAzure-ML-Craft/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adnksharp%2FAzure-ML-Craft/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adnksharp%2FAzure-ML-Craft/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/adnksharp","download_url":"https://codeload.github.com/adnksharp/Azure-ML-Craft/tar.gz/refs/heads/base","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247589831,"owners_count":20963022,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["azure-machine-learning"],"created_at":"2024-12-20T16:20:49.645Z","updated_at":"2026-01-20T15:32:58.517Z","avatar_url":"https://github.com/adnksharp.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Crear un Entorno de ejecución de Azure Machine Learning dentro de Azure\n\n![](screenshots/K.jpg)\n\nPara realizar este trabajo es necesario contar con una suscripción de Azure.\n\n# Área de trabajo\nAntes de comenzar a trabajar con Machine Learning Studio, es necesario crear un área de trabajo desde el [portal de Azure](https://portal.azure.com) llamado **Azure Machine Learning**. Para poder crear este recurso es necesario llenar dos formularios:\n![](screenshots/K_001.jpg)\n\n## Aspectos básicos\nInformación básica que se necesita para crear recursos en Azure (suscripción, grupo de recursos y nombre).\n\n## Revisión y creación\nValida la información que se ha mencionado anteriormente. Si todo esta bien se puede crear el recurso.\n![](screenshots/K_002.jpg)\n\n# Estudio de Microsoft Machine Learning\nSi el recurso se creo correctamente, podemos acceder a [Microsoft Machine Learning Studio](https://ml.azure.com/home) y ver el recurso que creamos como una opción entre las áreas de trabajo disponibles.\n![](screenshots/K_003.jpg)\n\nDentro del área de trabajo, en el aparatado de ```Proceso```, creamos una nueva ```Instancia de proceso```.\n![](screenshots/K_005.jpg)\n\nCuando el proceso se termine de crear y se ejeucte, en el apartado de ```Notebooks``` podemos ver el notebook que creamos para crear un archivo nuevo.\n![](screenshots/K_007.jpg)\n\nDespues de que creamos nuestro archivo, ya podemos usar el notebook para realizar el trabajo que deseamos.\n![](screenshots/K_009.jpg)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadnksharp%2Fazure-ml-craft","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fadnksharp%2Fazure-ml-craft","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadnksharp%2Fazure-ml-craft/lists"}