{"id":17998425,"url":"https://github.com/primaryobjects/datasciencecoursera","last_synced_at":"2026-03-19T02:47:25.392Z","repository":{"id":17716618,"uuid":"20540426","full_name":"primaryobjects/datasciencecoursera","owner":"primaryobjects","description":"Johns Hopkins University - Data science tracks via Coursera: Getting and Cleaning Data, Exploratory Data Analysis, Reproducible Research, Human Activity Recognition Using Smartphones Data Set Analysis","archived":false,"fork":false,"pushed_at":"2015-08-31T02:40:23.000Z","size":57772,"stargazers_count":1,"open_issues_count":0,"forks_count":2,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-06-12T08:39:37.899Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"HTML","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/primaryobjects.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}},"created_at":"2014-06-05T20:29:30.000Z","updated_at":"2015-09-20T01:44:32.000Z","dependencies_parsed_at":"2022-08-25T10:00:09.715Z","dependency_job_id":null,"html_url":"https://github.com/primaryobjects/datasciencecoursera","commit_stats":null,"previous_names":[],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/primaryobjects/datasciencecoursera","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/primaryobjects%2Fdatasciencecoursera","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/primaryobjects%2Fdatasciencecoursera/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/primaryobjects%2Fdatasciencecoursera/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/primaryobjects%2Fdatasciencecoursera/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/primaryobjects","download_url":"https://codeload.github.com/primaryobjects/datasciencecoursera/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/primaryobjects%2Fdatasciencecoursera/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28571556,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-19T12:50:50.164Z","status":"ssl_error","status_checked_at":"2026-01-19T12:50:42.704Z","response_time":67,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.5:443 state=error: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":"2024-10-29T21:25:17.112Z","updated_at":"2026-01-19T14:03:22.904Z","avatar_url":"https://github.com/primaryobjects.png","language":"HTML","readme":"## Johns Hopkins University - Data Science Track Projects\r\nvia Coursera\r\n\r\nThis repository contains projects from the Coursera - Johns Hopkins University data science tracks. The following projects are included:\r\n\r\n- R Programming\r\n- Getting and Cleaning Data\r\n- Exploratory Data Analysis\r\n- Reproducible Research\r\n- Regression Models\r\n- Practical Machine Learning\r\n\r\n## Projects\r\n\r\n#### R Programming\r\n[Cache Matrix](https://github.com/primaryobjects/cachematrix)\r\n\r\n#### Getting and Cleaning Data\r\n\r\n[Human Activity Recognition Using Smartphones Data Set Analysis](https://github.com/primaryobjects/datasciencecoursera/tree/master/getdata-005)  \r\n[CodeBook](https://github.com/primaryobjects/datasciencecoursera/blob/master/getdata-005/CodeBook.md)\r\n\r\n#### Exploratory Data Analysis\r\n\r\nProject 1 - [Individual household electric power consumption Data Set](https://github.com/primaryobjects/datasciencecoursera/tree/master/exdata-005/project1)  \r\nProject 2 - [National Emissions Inventory (NEI)](https://github.com/primaryobjects/datasciencecoursera/tree/master/exdata-005/project2)\r\n\r\n#### Reproducible Research\r\n\r\nProject 1 - [Personal Activity Monitoring Device Analysis (Fitbit)](https://github.com/primaryobjects/datasciencecoursera/tree/master/repdata-015/project1)  \r\nProject 2 - [U.S. National Oceanic and Atmospheric Administration's (NOAA) Storm Database](https://github.com/primaryobjects/datasciencecoursera/tree/master/repdata-015/project2)\r\n\r\n#### Regression Models\r\n\r\nProject 1 - [MPG vs Automatic and Manual Transmission Analysis](https://github.com/primaryobjects/datasciencecoursera/tree/master/regmods-030)\r\n\r\n#### Practical Machine Learning\r\n\r\nProject 1 - [Human Activity Recognition: Predicting Proper Exercise Technique](https://github.com/primaryobjects/datasciencecoursera/tree/master/predmachlearn-031)\r\n\r\n## Author\r\n\r\n[Kory Becker](http://www.primaryobjects.com/kory-becker) 2015\r\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprimaryobjects%2Fdatasciencecoursera","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fprimaryobjects%2Fdatasciencecoursera","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fprimaryobjects%2Fdatasciencecoursera/lists"}