{"id":17455513,"url":"https://github.com/yosrak5/predictive_maintenance","last_synced_at":"2026-02-25T11:37:37.603Z","repository":{"id":258003359,"uuid":"870634432","full_name":"yosrak5/Predictive_Maintenance","owner":"yosrak5","description":"End-To-End Predictive Analytics to predict Hardware  Maintenance Before it occurs using data preprocessing and Machine Learning classification modeling (XGBOOST , Random Forest )","archived":false,"fork":false,"pushed_at":"2024-10-28T19:56:53.000Z","size":5443,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-04-09T16:16:05.463Z","etag":null,"topics":["data-factory","data-perspective","machine-learning-workbench","matplotlib","numpy","pandas","python","random-forest","seaborn","xgboost"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/yosrak5.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":"2024-10-10T11:54:01.000Z","updated_at":"2024-10-28T19:56:57.000Z","dependencies_parsed_at":"2024-10-18T21:53:55.637Z","dependency_job_id":null,"html_url":"https://github.com/yosrak5/Predictive_Maintenance","commit_stats":null,"previous_names":["yosrak5/predictive_maintenance"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yosrak5%2FPredictive_Maintenance","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yosrak5%2FPredictive_Maintenance/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yosrak5%2FPredictive_Maintenance/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/yosrak5%2FPredictive_Maintenance/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/yosrak5","download_url":"https://codeload.github.com/yosrak5/Predictive_Maintenance/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248065283,"owners_count":21041872,"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":["data-factory","data-perspective","machine-learning-workbench","matplotlib","numpy","pandas","python","random-forest","seaborn","xgboost"],"created_at":"2024-10-18T02:04:26.606Z","updated_at":"2026-02-25T11:37:37.550Z","avatar_url":"https://github.com/yosrak5.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Predictive_Maintenance\nPredictive maintenance is a proactive maintenance strategy that utilizes data analysis, machine learning algorithms, and sensor technologies to predict equipment failures before they occur.\nBy analyzing real-time and historical data, predictive maintenance aims to identify patterns and anomalies that signal potential issues, allowing maintenance teams to schedule repairs or replacements at optimal times.\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyosrak5%2Fpredictive_maintenance","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fyosrak5%2Fpredictive_maintenance","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fyosrak5%2Fpredictive_maintenance/lists"}