{"id":15131144,"url":"https://github.com/foggysmile/ml_labs_itmo","last_synced_at":"2026-02-11T08:40:51.154Z","repository":{"id":256567897,"uuid":"855756728","full_name":"FoggySmile/ML_labs_ITMO","owner":"FoggySmile","description":"Лабораторные работы по машинному обучению","archived":false,"fork":false,"pushed_at":"2024-09-11T13:17:06.000Z","size":965,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-06-27T00:45:55.658Z","etag":null,"topics":["bert","decision-trees","jupyter-notebook","machine-learning","numpy","pandas","random-forest","xgboost"],"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/FoggySmile.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":"2024-09-11T12:22:24.000Z","updated_at":"2024-09-11T13:23:20.000Z","dependencies_parsed_at":"2024-09-11T19:55:03.800Z","dependency_job_id":"6b00922a-52b4-4492-9009-88d2e65a5119","html_url":"https://github.com/FoggySmile/ML_labs_ITMO","commit_stats":null,"previous_names":["foggysmile/ml_labs_itmo"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/FoggySmile/ML_labs_ITMO","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FoggySmile%2FML_labs_ITMO","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FoggySmile%2FML_labs_ITMO/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FoggySmile%2FML_labs_ITMO/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FoggySmile%2FML_labs_ITMO/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/FoggySmile","download_url":"https://codeload.github.com/FoggySmile/ML_labs_ITMO/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/FoggySmile%2FML_labs_ITMO/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274231111,"owners_count":25245687,"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":"2025-09-08T02:00:09.813Z","response_time":121,"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":["bert","decision-trees","jupyter-notebook","machine-learning","numpy","pandas","random-forest","xgboost"],"created_at":"2024-09-26T03:24:04.914Z","updated_at":"2026-02-11T08:40:51.112Z","avatar_url":"https://github.com/FoggySmile.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Лабораторные работы по предмету \"Машинное обучение\"\n\nЭтот репозиторий содержит 7 лабораторных работ в формате Jupyter Notebook (.ipynb), выполненных в рамках курса \"Машинное обучение\" в Университете ИТМО.\n\n## Содержание\n\n1. **Лабораторная работа 1**: Введение в Pandas.\n2. **Лабораторная работа 2**: Данная лабораторная утеряна :(\n3. **Лабораторная работа 3**: Использование деревьев решений, случайного леса, xgboost.\n4. **Лабораторная работа 4**: Использование методов уменьшения размерности данных и кластеризации.\n5. **Лабораторная работа 5**: Градиентный спуск.\n6. **Лабораторная работа 6**: Дообучение CNN.\n7. **Лабораторная работа 7**: BERT Архитектура.\n\n## Описание\n\nКаждая лабораторная работа посвящена различным аспектам машинного обучения, включая:\n\n- Предобработку данных\n- Построение моделей\n- Оценку качества моделей\n- Применение алгоритмов машинного обучения на реальных данных.\n\n## Требования\n\n- Python 3.x\n- Jupyter Notebook\n\n## Запуск\n\nДля запуска лабораторных работ выполните следующие шаги:\n\n1. Клонируйте репозиторий:\n\n```bash\ngit clone https://github.com/your_username/repository_name.git\ncd src\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffoggysmile%2Fml_labs_itmo","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ffoggysmile%2Fml_labs_itmo","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ffoggysmile%2Fml_labs_itmo/lists"}