{"id":28286397,"url":"https://github.com/hackmcgill/ai","last_synced_at":"2025-08-18T13:09:13.347Z","repository":{"id":10948135,"uuid":"13257241","full_name":"hackmcgill/ai","owner":"hackmcgill","description":"Artificially intelligent swag from the AI group at HackMcGill HackNights.","archived":false,"fork":false,"pushed_at":"2013-11-01T17:30:39.000Z","size":2084,"stargazers_count":2,"open_issues_count":0,"forks_count":1,"subscribers_count":31,"default_branch":"master","last_synced_at":"2025-06-17T18:48:41.029Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"Python","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/hackmcgill.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":"2013-10-01T22:17:37.000Z","updated_at":"2019-02-11T03:21:34.000Z","dependencies_parsed_at":"2022-08-28T11:50:39.955Z","dependency_job_id":null,"html_url":"https://github.com/hackmcgill/ai","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/hackmcgill/ai","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hackmcgill%2Fai","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hackmcgill%2Fai/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hackmcgill%2Fai/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hackmcgill%2Fai/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hackmcgill","download_url":"https://codeload.github.com/hackmcgill/ai/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hackmcgill%2Fai/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270997153,"owners_count":24681992,"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":"2025-08-18T02:00:08.743Z","response_time":89,"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":"2025-05-21T20:12:16.090Z","updated_at":"2025-08-18T13:09:13.340Z","avatar_url":"https://github.com/hackmcgill.png","language":"Python","funding_links":[],"categories":[],"sub_categories":[],"readme":"ai@hackmcgill\n==\n\nArtificially intelligent swag from the AI group at HackMcGill HackNights.\n\nEvery Tuesday night in McGill TR3070 from 7PM onwards. Over the year we will cover stuff like:\n\n- Machine learning\n- Neural Networks\n- NLP\n- MapReduce/Hadoop\n- General AI concepts\n- Game theory\n- Applications of this stuff\n\nIn python and (maybe) scala.\n\n##overview\n\n- October 1: Document classification using python, sklearn and naive bayes using a sample dataset pulled from hackerrank.com\n- October 8: Using oct1 in real life. Scraping news websites and classifying their articles our way in python. We all worked on a part of the scraper. Next week we're going to talk about how we put it together.\n- October 15: Putting the scraper together. Testing classification. Improvements on this? Additional resources, and \"how do we make this more intelligent?\" -\u003e intro to NLP (maybe if we have time).\n\n##textbooks / book resources\n\n- Machine Learning in Action\n- Bayesian Reasoning and Machine Learning by David Barber (most recent draft: http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/031013.pdf)\n- Neural Networks: A Comprehensive Foundation by Simon Haykin\n- Artificial Intelligence: A Modern Approach\n\n##hone your skills\n- http://hackerrank.com\n\n##libraries for artificial intelligence\n\n- http://scikit-learn.org/stable/ (python machine learning library)\n- http://nltk.org/ (NLP library in python)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhackmcgill%2Fai","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhackmcgill%2Fai","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhackmcgill%2Fai/lists"}