{"id":25526307,"url":"https://github.com/teixdavide/FEUP_AC_WNBA","last_synced_at":"2026-01-05T21:30:15.736Z","repository":{"id":272807367,"uuid":"917822146","full_name":"Davide64-dev/FEUP_AC_WNBA","owner":"Davide64-dev","description":"🏀 | Dataset pre-processing and Machine Learning models training for WNBA plays-offs prediction.","archived":false,"fork":false,"pushed_at":"2025-01-17T10:21:30.000Z","size":2406,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-01-17T11:27:36.634Z","etag":null,"topics":["ac","feup","machine-learning","ml","wnba"],"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/Davide64-dev.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":"2025-01-16T17:56:16.000Z","updated_at":"2025-01-17T10:21:32.000Z","dependencies_parsed_at":"2025-01-17T11:37:51.697Z","dependency_job_id":null,"html_url":"https://github.com/Davide64-dev/FEUP_AC_WNBA","commit_stats":null,"previous_names":["davide64-dev/feup_ac_truecrime","davide64-dev/feup_ac_wnba"],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Davide64-dev%2FFEUP_AC_WNBA","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Davide64-dev%2FFEUP_AC_WNBA/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Davide64-dev%2FFEUP_AC_WNBA/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Davide64-dev%2FFEUP_AC_WNBA/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Davide64-dev","download_url":"https://codeload.github.com/Davide64-dev/FEUP_AC_WNBA/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":239735249,"owners_count":19688262,"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","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":["ac","feup","machine-learning","ml","wnba"],"created_at":"2025-02-19T21:17:20.689Z","updated_at":"2026-01-05T21:30:15.673Z","avatar_url":"https://github.com/Davide64-dev.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# WNBA Prediction with Machine Learning\n\nThis repository uses data from WNBA dataset to train machine learning models that can predict whether a team goes, or not, to play-offs.\n\nThe development of this program is part of the curriculum for the [Machine Learning](https://sigarra.up.pt/feup/en/UCURR_GERAL.FICHA_UC_VIEW?pv_ocorrencia_id=540676) course.\n\n## Running Instructions\n\nThe project can be used as a regular Jupyter Notebook.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteixdavide%2FFEUP_AC_WNBA","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fteixdavide%2FFEUP_AC_WNBA","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fteixdavide%2FFEUP_AC_WNBA/lists"}