{"id":17206526,"url":"https://github.com/sylvaincom/high-dimensional-statistics","last_synced_at":"2025-03-25T10:24:59.787Z","repository":{"id":101200648,"uuid":"214888279","full_name":"sylvaincom/high-dimensional-statistics","owner":"sylvaincom","description":"[Python, R] My homeworks for the Statistics for high-dimensional data course of my MSc @ Mines Nancy","archived":false,"fork":false,"pushed_at":"2019-11-24T14:07:38.000Z","size":1255,"stargazers_count":2,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-30T09:41:27.881Z","etag":null,"topics":["boosting","boosting-algorithms","lasso-regression","ridge-regression"],"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/sylvaincom.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":"2019-10-13T20:22:18.000Z","updated_at":"2024-12-04T20:49:16.000Z","dependencies_parsed_at":null,"dependency_job_id":"983e2ec2-4710-408a-ae38-d117d680d6bf","html_url":"https://github.com/sylvaincom/high-dimensional-statistics","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/sylvaincom%2Fhigh-dimensional-statistics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sylvaincom%2Fhigh-dimensional-statistics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sylvaincom%2Fhigh-dimensional-statistics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sylvaincom%2Fhigh-dimensional-statistics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sylvaincom","download_url":"https://codeload.github.com/sylvaincom/high-dimensional-statistics/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245442237,"owners_count":20615981,"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":["boosting","boosting-algorithms","lasso-regression","ridge-regression"],"created_at":"2024-10-15T02:28:54.797Z","updated_at":"2025-03-25T10:24:59.758Z","avatar_url":"https://github.com/sylvaincom.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# High-dimensional statistics\n\nMy homeworks for the [Statistics for high-dimensional data](https://wikidocs.univ-lorraine.fr/display/minesnancyficm/GIMAS9AD+STATISTIQUE+EN+GRANDE+DIMENSION) course of my MSc @ Mines Nancy. I use R or Python, both in the form of Jupyter Notebooks.\n\nThe [boosting notebook](https://github.com/sylvaincom/high-dimensional-statistics/blob/master/boosting.ipynb) complements our report on boosting. It contains a few implementations of the methods that were studied. In particular, we compare several classifiers on several datasets (for classication). All functions (except XGBoost) and datasets come from scikit-learn.\n\nThis repository is mainly intented to my teacher, thus there are no further explanations for now. In particular, [tp3](https://github.com/sylvaincom/high-dimensional-statistics/blob/master/tp3.ipynb) is a homework assignment but I can not share the exercise statement for now.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsylvaincom%2Fhigh-dimensional-statistics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsylvaincom%2Fhigh-dimensional-statistics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsylvaincom%2Fhigh-dimensional-statistics/lists"}