{"id":20520463,"url":"https://github.com/teo-sl/university-courses-sem-1","last_synced_at":"2026-04-07T16:32:33.174Z","repository":{"id":169721660,"uuid":"548025132","full_name":"teo-sl/University-courses-sem-1","owner":"teo-sl","description":"Notes, exercises and experiments related to my college courses","archived":false,"fork":false,"pushed_at":"2023-02-23T16:36:13.000Z","size":22537,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-03-06T00:22:56.499Z","etag":null,"topics":["ai","apache-spark","big-data","docker","game-theory","java","java-streams","jupiter-notebook","lisp","machine-learning","mpi","planning","python","strips","viola-jones"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","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/teo-sl.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":"2022-10-08T19:33:55.000Z","updated_at":"2023-02-26T15:25:32.000Z","dependencies_parsed_at":null,"dependency_job_id":"357fed16-f8ce-4e21-8f52-0fcdb8ae6fda","html_url":"https://github.com/teo-sl/University-courses-sem-1","commit_stats":null,"previous_names":["teo-sl/university-courses-sem-1"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/teo-sl/University-courses-sem-1","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/teo-sl%2FUniversity-courses-sem-1","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/teo-sl%2FUniversity-courses-sem-1/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/teo-sl%2FUniversity-courses-sem-1/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/teo-sl%2FUniversity-courses-sem-1/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/teo-sl","download_url":"https://codeload.github.com/teo-sl/University-courses-sem-1/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/teo-sl%2FUniversity-courses-sem-1/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":31520530,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-07T16:28:08.000Z","status":"ssl_error","status_checked_at":"2026-04-07T16:28:06.951Z","response_time":105,"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":["ai","apache-spark","big-data","docker","game-theory","java","java-streams","jupiter-notebook","lisp","machine-learning","mpi","planning","python","strips","viola-jones"],"created_at":"2024-11-15T22:19:49.941Z","updated_at":"2026-04-07T16:32:33.142Z","avatar_url":"https://github.com/teo-sl.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# College-courses\n\nVarious notes, exercises from my college courses. \n\n## AI\n\nThis part includes:\n- a framework 'search' with the implementation of some search algorithms (e.g. iterative deepening, $A^*$, Breadth first etc...). And the implementation of classic problems like\n  -  Cannibal and missionaries\n  -  8 puzzle\n  -  block planning (strips like solution)\n- a series of projects for adversarial search using Minimax algorithm with alpha beta pruning:\n  - connect four\n  - tic tac toe\n- some notes related to game theory\n- the \"no goal\" exercise\n- some exercises done in lisp (e.g. heap sort implementation)\n\n## Big data\n\nExercises related to:\n- MPI\n- Java streams\n- Apache Spark\n\n## Machine Learning\nThe implementation of some ML models like:\n- adaboost (with Viola Jones algorithm)\n- decision stump\n- linear regression\n- the perceptron\n- SVM\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteo-sl%2Funiversity-courses-sem-1","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fteo-sl%2Funiversity-courses-sem-1","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteo-sl%2Funiversity-courses-sem-1/lists"}