{"id":20291161,"url":"https://github.com/arundo/amld2019-equipment-ad","last_synced_at":"2025-04-11T11:13:46.788Z","repository":{"id":37602848,"uuid":"168989196","full_name":"arundo/amld2019-equipment-ad","owner":"arundo","description":"Workshop materials from Applied Machine Learning Days 2019 in Lausanne","archived":false,"fork":false,"pushed_at":"2024-06-17T22:51:13.000Z","size":4932,"stargazers_count":3,"open_issues_count":2,"forks_count":7,"subscribers_count":5,"default_branch":"master","last_synced_at":"2025-03-25T07:36:14.990Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/arundo.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-02-03T20:20:05.000Z","updated_at":"2021-06-15T09:21:41.000Z","dependencies_parsed_at":"2022-08-25T22:10:46.346Z","dependency_job_id":null,"html_url":"https://github.com/arundo/amld2019-equipment-ad","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arundo%2Famld2019-equipment-ad","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arundo%2Famld2019-equipment-ad/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arundo%2Famld2019-equipment-ad/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arundo%2Famld2019-equipment-ad/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/arundo","download_url":"https://codeload.github.com/arundo/amld2019-equipment-ad/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248381790,"owners_count":21094528,"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":[],"created_at":"2024-11-14T15:10:45.527Z","updated_at":"2025-04-11T11:13:46.769Z","avatar_url":"https://github.com/arundo.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Applied Machine Learning for Anomaly Detection on Equipment\n**Workshop presented during AMLD2019 26.01.2019 in Lausanne**\n\nOriginal description is available at [AMLD webpages](https://www.appliedmldays.org/workshops/applied-machine-learning-for-anomaly-detection-on-equipment). \n\nThe introductory slides are available in the [slides](/slides) folder of this repository. \n\n## Setup \n\nTo reproduce the virtual environment used for the workshop install\n[pipenv](https://pipenv.readthedocs.io/en/latest/) and type:\n\n```bash\npipenv install\n```\n\nThen you should be able to start a jupyter notebook and execute the notebook content.\n\n### Note\n\nWe are currently not providing access to [Arundo Composer](https://docs.arundo.com/composer/overview)\ntherefore you won't be able to follow the second part of the tutorial and deploy models to\n[Arundo Fabric](https://docs.arundo.com/fabric/overview).\n\n\n## Data\n\nThe data used in this workshop was extracted from the [Turbofan engine degradation simulation data set](https://ti.arc.nasa.gov/tech/dash/groups/pcoe/prognostic-data-repository/#turbofan) (dataset ID: \"FD001\"). \n\nReference: Saxena, A., Goebel, K., Simon, D. and Eklund, N., 2008, October. Damage propagation modeling for aircraft engine run-to-failure simulation. In Prognostics and Health Management, 2008. PHM 2008. International Conference on (pp. 1-9). IEEE.\n\n\n## Questions? Suggestions?\n\nIf you have any questions about the presented content or would like to suggest\nways we could improve this tutorial please reach out to us at\n[support@arundo.com](mailto:support@arundo.com).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farundo%2Famld2019-equipment-ad","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farundo%2Famld2019-equipment-ad","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farundo%2Famld2019-equipment-ad/lists"}