{"id":16509488,"url":"https://github.com/jtemporal/ml-course-ang-notes","last_synced_at":"2026-06-08T03:32:25.406Z","repository":{"id":78994854,"uuid":"235352793","full_name":"jtemporal/ml-course-ang-notes","owner":"jtemporal","description":"My notes on Andrew Ng's Machine Learning course on Coursera","archived":false,"fork":false,"pushed_at":"2020-01-23T14:58:15.000Z","size":106,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":3,"default_branch":"master","last_synced_at":"2025-03-02T06:14:28.347Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jtemporal.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,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2020-01-21T13:47:14.000Z","updated_at":"2020-04-29T04:29:25.000Z","dependencies_parsed_at":null,"dependency_job_id":"18f9fe27-9046-47f4-93cb-36f2df75fcec","html_url":"https://github.com/jtemporal/ml-course-ang-notes","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/jtemporal/ml-course-ang-notes","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jtemporal%2Fml-course-ang-notes","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jtemporal%2Fml-course-ang-notes/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jtemporal%2Fml-course-ang-notes/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jtemporal%2Fml-course-ang-notes/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jtemporal","download_url":"https://codeload.github.com/jtemporal/ml-course-ang-notes/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jtemporal%2Fml-course-ang-notes/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":34047266,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-05-26T15:22:16.424Z","status":"online","status_checked_at":"2026-06-08T02:00:07.615Z","response_time":111,"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":"2024-10-11T15:50:46.243Z","updated_at":"2026-06-08T03:32:25.383Z","avatar_url":"https://github.com/jtemporal.png","language":"MATLAB","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Machine Learning by Andrew Ng on Coursera\n\nThis are my notes on the course about octave.\n\nFor the installation I went to the [GNU Octave website](https://www.gnu.org/software/octave/) and installed the lattest versiont that **isn't** 4.0.0.\n\nI'm currently using Octave 3.8.0 with the experimental GUI downloaded and installed following the course instructions [from here](https://sourceforge.net/projects/octave/files/Octave%20MacOSX%20Binary/2013-12-30%20binary%20installer%20of%20Octave%203.8.0%20for%20OSX%2010.9.1%20%28beta%29/GNU_Octave_3.8.0-6.dmg/download).\n\nAll the files have an index at the begin of its name so you can know which one to start your study.\n\n## Repo structure\n\n├── code/            -\u003e Code files directory, all `.m` files are in here\n├── images/          -\u003e Images directory, all generated plots are saved as images in here\n├── data/            -\u003e Data directory, all generated data and input data are saved as images in here\n├── LICENSE          -\u003e License for this repo\n├── README.md        -\u003e Read me file with few useful info\n└── notes.md         -\u003e study notes that aren't necessarily code\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjtemporal%2Fml-course-ang-notes","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjtemporal%2Fml-course-ang-notes","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjtemporal%2Fml-course-ang-notes/lists"}