{"id":19755513,"url":"https://github.com/wilfordaf/ml-sect-introduction-task","last_synced_at":"2025-02-28T01:47:59.533Z","repository":{"id":154749818,"uuid":"613462139","full_name":"wilfordaf/ML-Sect-Introduction-Task","owner":"wilfordaf","description":"Test task for students assosiation","archived":false,"fork":false,"pushed_at":"2023-03-22T15:56:49.000Z","size":128,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-10T22:26:06.104Z","etag":null,"topics":["classic-machine-learning","keras","machine-learning","regression-models","scikit-learn"],"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/wilfordaf.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":"2023-03-13T16:03:11.000Z","updated_at":"2023-12-08T20:54:38.000Z","dependencies_parsed_at":null,"dependency_job_id":"3a80544f-013f-4c93-b69a-3288522dc6f3","html_url":"https://github.com/wilfordaf/ML-Sect-Introduction-Task","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wilfordaf%2FML-Sect-Introduction-Task","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wilfordaf%2FML-Sect-Introduction-Task/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wilfordaf%2FML-Sect-Introduction-Task/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/wilfordaf%2FML-Sect-Introduction-Task/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/wilfordaf","download_url":"https://codeload.github.com/wilfordaf/ML-Sect-Introduction-Task/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241086420,"owners_count":19907277,"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":["classic-machine-learning","keras","machine-learning","regression-models","scikit-learn"],"created_at":"2024-11-12T03:11:56.569Z","updated_at":"2025-02-28T01:47:59.502Z","avatar_url":"https://github.com/wilfordaf.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Вступительное задание в ML секту\n\n## Текст задания\nНеобходимо предсказать популярность песни на Spotify по её характеристикам c помощью датасета SpotifyFeatures.\nМожно начать с модели линейной регрессии...\n\n## Рассмотренные модели\n- Linear Regression\n- RidgeCV\n- Polynomial Regression\n- Random Forest\n- MLP\n\n## Возможные улучения\n- [ ] Попробовать заменить One Hot Encoding, на Hashing Trick или другие аналоги.\n- [ ] Попробовать подобрать более удачные гиперпараметры для Random Forest.\n- [ ] Попробовать поменять настройки (слои, функции активации) и гиперпараметры MLP.\n\n## Выполнил Юрпалов Сергей M33051\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwilfordaf%2Fml-sect-introduction-task","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fwilfordaf%2Fml-sect-introduction-task","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fwilfordaf%2Fml-sect-introduction-task/lists"}