{"id":18100363,"url":"https://github.com/adoroszlai/practicalmachinelearningassignment","last_synced_at":"2025-04-06T04:45:48.311Z","repository":{"id":24562232,"uuid":"27969515","full_name":"adoroszlai/PracticalMachineLearningAssignment","owner":"adoroszlai","description":null,"archived":false,"fork":false,"pushed_at":"2014-12-17T21:07:24.000Z","size":288,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-02-12T10:56:04.553Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"R","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/adoroszlai.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2014-12-13T18:22:57.000Z","updated_at":"2014-12-17T21:07:19.000Z","dependencies_parsed_at":"2022-08-23T04:11:05.813Z","dependency_job_id":null,"html_url":"https://github.com/adoroszlai/PracticalMachineLearningAssignment","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/adoroszlai%2FPracticalMachineLearningAssignment","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adoroszlai%2FPracticalMachineLearningAssignment/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adoroszlai%2FPracticalMachineLearningAssignment/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/adoroszlai%2FPracticalMachineLearningAssignment/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/adoroszlai","download_url":"https://codeload.github.com/adoroszlai/PracticalMachineLearningAssignment/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247436145,"owners_count":20938532,"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":"2024-10-31T21:13:57.867Z","updated_at":"2025-04-06T04:45:48.061Z","avatar_url":"https://github.com/adoroszlai.png","language":"R","readme":"Practical Machine Learning - Course Project\n===========================================\n\nAnalysis for the [Practical Machine Learning](https://www.coursera.org/course/predmachlearn) course project.\n\nContents:\n\n * `functions.R`: Defines common variables and functions.\n * `data_cleaning.Rmd` ([compiled](https://adoroszlai.github.io/PracticalMachineLearningAssignment/data_cleaning.html)): Describes data cleaning steps and actually performs them.\n * `modelling.R`: Partitions the data into training and testing subsets, and fits random forest models.\n * `analysis.Rmd` ([compiled](https://adoroszlai.github.io/PracticalMachineLearningAssignment/analysis.html)): Describes the modelling process and evaluates the selected model.  Includes brief overview of the dataset and the data cleaning process.\n * `validate.R`: Applies the final model to the test dataset, saves output for submission.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadoroszlai%2Fpracticalmachinelearningassignment","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fadoroszlai%2Fpracticalmachinelearningassignment","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fadoroszlai%2Fpracticalmachinelearningassignment/lists"}