{"id":29054407,"url":"https://github.com/teomewhy/curso-mflow","last_synced_at":"2025-09-04T03:39:49.868Z","repository":{"id":272282548,"uuid":"916064780","full_name":"TeoMeWhy/curso-mflow","owner":"TeoMeWhy","description":null,"archived":false,"fork":false,"pushed_at":"2025-01-17T11:46:10.000Z","size":393,"stargazers_count":9,"open_issues_count":2,"forks_count":2,"subscribers_count":0,"default_branch":"main","last_synced_at":"2025-08-29T11:59:28.714Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","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/TeoMeWhy.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},"funding":{"github":"TeoMeWhy"}},"created_at":"2025-01-13T11:44:11.000Z","updated_at":"2025-06-05T16:13:05.000Z","dependencies_parsed_at":"2025-01-13T13:24:54.619Z","dependency_job_id":"a31da038-7c93-418d-a823-ecc46304148e","html_url":"https://github.com/TeoMeWhy/curso-mflow","commit_stats":null,"previous_names":["teomewhy/curso-mflow"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/TeoMeWhy/curso-mflow","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TeoMeWhy%2Fcurso-mflow","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TeoMeWhy%2Fcurso-mflow/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TeoMeWhy%2Fcurso-mflow/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TeoMeWhy%2Fcurso-mflow/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/TeoMeWhy","download_url":"https://codeload.github.com/TeoMeWhy/curso-mflow/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TeoMeWhy%2Fcurso-mflow/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":273548591,"owners_count":25125253,"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","status":"online","status_checked_at":"2025-09-04T02:00:08.968Z","response_time":61,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":[],"created_at":"2025-06-27T02:38:14.377Z","updated_at":"2025-09-04T03:39:49.824Z","avatar_url":"https://github.com/TeoMeWhy.png","language":"Python","funding_links":["https://github.com/sponsors/TeoMeWhy"],"categories":[],"sub_categories":[],"readme":"# Curso de MLFlow\n\nCurso destinado a explicar o funcionamento e principais conceitos do MLFlow para desenvolvimento de modelos de Machine Learning e Inteligência Artificial.\n\nO uso dessa ferramenta viabilisará a produção e gestão de diferentes modelos treinados. Bem como auxiliará na maneira como os modelos são selecionados para produção.\n\nTodo material está no YouTube: [clique aqui](https://youtube.com/playlist?list=PLvlkVRRKOYFQeQEA5Lc0US9i-EK8eGgrs\u0026si=_xiG7YzwzeVVra9t).\n\n## Estrutura do projeto\n\n```bash\n.\n├── mlflow-server\n│   ├── mlartifacts\n│   ├── mlruns\n│   └── requirements.txt\n├── model_churn\n│   ├── data\n│   ├── requirements.txt\n│   └── train.py\n└── README.md\n```\n\n### mlflow-server\n\nÉ aqui que os artefatos serão gerados a partir do MLFlow. É o lugar onde você deve executar os comandos:\n\n```bash\ncd mlflow-server\nconda create --name mlflow-server python=3.12\nconda activate mlflow-server\npip install -r requirements.txt\nmlflow server\n```\n\nSempre que precisar subir o servidor do MLFlow, pode executar:\nml-churn\n```bash\ncd mlflow-server\nconda activate mlflow-server\nmlflow server\n```\n\nAssim que você criar os primeiros modelos e exeprimentos, as demais pastas serão criadas.\n\n### model_churn\n\nÉ o diretório do nosso projeto de Machine Learning. É onde contruímos o nosso modelo, armazenamos os dados, e todo código necessário para o modelo ser treinado e executado.\n\nPara construir o ambiente necessário, execute os comandos:\n\n\n```bash\ncd model_churn\nconda create --name ml-churn python=3.12\nconda activate ml-churn\npip install -r requirements.txt\n```","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteomewhy%2Fcurso-mflow","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fteomewhy%2Fcurso-mflow","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteomewhy%2Fcurso-mflow/lists"}