{"id":20325478,"url":"https://github.com/devalone/machine-learning-course-by-andrew-ng-in-rust","last_synced_at":"2025-09-05T06:36:17.043Z","repository":{"id":138922763,"uuid":"351560984","full_name":"DevAlone/machine-learning-course-by-andrew-ng-in-rust","owner":"DevAlone","description":"Implementation of algorithms from machine learning course by Andrew Ng https://www.coursera.org/learn/machine-learning/","archived":false,"fork":false,"pushed_at":"2022-02-09T21:17:28.000Z","size":16158,"stargazers_count":1,"open_issues_count":0,"forks_count":1,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-08-12T21:08:53.106Z","etag":null,"topics":["andrew-ng-course","andrew-ng-coursera","andrew-ng-machine-learning","andrew-ng-ml-course","linear-regression","logistic-regression","machine-learning","neural-networks","rust"],"latest_commit_sha":null,"homepage":"","language":"Rust","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/DevAlone.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":"2021-03-25T20:03:00.000Z","updated_at":"2024-05-13T14:54:19.000Z","dependencies_parsed_at":"2023-03-22T11:18:20.541Z","dependency_job_id":null,"html_url":"https://github.com/DevAlone/machine-learning-course-by-andrew-ng-in-rust","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/DevAlone/machine-learning-course-by-andrew-ng-in-rust","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DevAlone%2Fmachine-learning-course-by-andrew-ng-in-rust","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DevAlone%2Fmachine-learning-course-by-andrew-ng-in-rust/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DevAlone%2Fmachine-learning-course-by-andrew-ng-in-rust/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DevAlone%2Fmachine-learning-course-by-andrew-ng-in-rust/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/DevAlone","download_url":"https://codeload.github.com/DevAlone/machine-learning-course-by-andrew-ng-in-rust/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/DevAlone%2Fmachine-learning-course-by-andrew-ng-in-rust/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":273723201,"owners_count":25156302,"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","status":"online","status_checked_at":"2025-09-05T02:00:09.113Z","response_time":402,"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":["andrew-ng-course","andrew-ng-coursera","andrew-ng-machine-learning","andrew-ng-ml-course","linear-regression","logistic-regression","machine-learning","neural-networks","rust"],"created_at":"2024-11-14T19:40:00.196Z","updated_at":"2025-09-05T06:36:17.013Z","avatar_url":"https://github.com/DevAlone.png","language":"Rust","funding_links":[],"categories":[],"sub_categories":[],"readme":"# machine-learning-course-by-andrew-ng-in-rust\n\n## Week 1\n\n`week1` dir contains linear regression demo for the first week.\n\nJust run it, click to create additional points and see how it converges.\n\n![a screenshot of the UI](https://github.com/DevAlone/machine-learning-course-by-andrew-ng-in-rust/blob/master/assets/week1/1.300x.png?raw=true)\n![a video of the UI](https://github.com/DevAlone/machine-learning-course-by-andrew-ng-in-rust/blob/master/assets/week1/2.gif?raw=true)\n\n## Week 2\n\n`week2` dir contains linear regression with multiple features demo for the second week. The implementation works with\nany number of features, but we use 2 because human beings have troubles perceiving more than 3 dimensions.\n\nYou can left click the image and rotate it with the mouse and add points by the inputs on the bottom.\n\nThere 2 algorithms: linear regression and normal equation and you can switch between them by\nchanging `USE_NORMAL_EQUATION` in `src/constants.rs` file\n\n![a screenshot of the UI](https://github.com/DevAlone/machine-learning-course-by-andrew-ng-in-rust/blob/master/assets/week2/1.300x.png?raw=true)\n![a screenshot of the UI](https://github.com/DevAlone/machine-learning-course-by-andrew-ng-in-rust/blob/master/assets/week2/2.300x.png?raw=true)\n![a video of the UI](https://github.com/DevAlone/machine-learning-course-by-andrew-ng-in-rust/blob/master/assets/week2/3.gif?raw=true)\n\n## Week 3\n\n`week3` dir contains a demo for logistic regression with 1 and 2 features. For 2 features there's a 2d visualization\nwhere x, y and size of the dot are original data. For 3 features we visualize points in 3d space and prediction function\nas a sigmoid surface. You can add new points and see how the surface will get adjusted.\n\n![a screenshot of the UI](https://github.com/DevAlone/machine-learning-course-by-andrew-ng-in-rust/blob/master/assets/week3/1.300x.png?raw=true)\n![a screenshot of the UI](https://github.com/DevAlone/machine-learning-course-by-andrew-ng-in-rust/blob/master/assets/week3/2.300x.png?raw=true)\n![a video of the UI](https://github.com/DevAlone/machine-learning-course-by-andrew-ng-in-rust/blob/master/assets/week3/3.gif?raw=true)\n![a video of the UI](https://github.com/DevAlone/machine-learning-course-by-andrew-ng-in-rust/blob/master/assets/week3/4.gif?raw=true)\n\n## Week 4\n\nThere's no demo for week 4 since week 5's demo includes the material from week 4.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevalone%2Fmachine-learning-course-by-andrew-ng-in-rust","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdevalone%2Fmachine-learning-course-by-andrew-ng-in-rust","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdevalone%2Fmachine-learning-course-by-andrew-ng-in-rust/lists"}