{"id":15640628,"url":"https://github.com/glemaitre/pyparis-2018-sklearn","last_synced_at":"2025-10-09T17:12:28.556Z","repository":{"id":89276659,"uuid":"156728057","full_name":"glemaitre/pyparis-2018-sklearn","owner":"glemaitre","description":"PyParis tutorial on machine learning using scikit-learn","archived":false,"fork":false,"pushed_at":"2023-11-22T02:18:34.000Z","size":664,"stargazers_count":74,"open_issues_count":2,"forks_count":19,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-03-29T08:23:47.416Z","etag":null,"topics":["data-science","machine-learn","pandas","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":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/glemaitre.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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":"2018-11-08T15:30:37.000Z","updated_at":"2024-02-20T00:12:52.000Z","dependencies_parsed_at":"2024-10-22T22:28:56.775Z","dependency_job_id":null,"html_url":"https://github.com/glemaitre/pyparis-2018-sklearn","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/glemaitre%2Fpyparis-2018-sklearn","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/glemaitre%2Fpyparis-2018-sklearn/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/glemaitre%2Fpyparis-2018-sklearn/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/glemaitre%2Fpyparis-2018-sklearn/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/glemaitre","download_url":"https://codeload.github.com/glemaitre/pyparis-2018-sklearn/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249707577,"owners_count":21313876,"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":["data-science","machine-learn","pandas","scikit-learn"],"created_at":"2024-10-03T11:38:49.777Z","updated_at":"2025-10-09T17:12:23.524Z","avatar_url":"https://github.com/glemaitre.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# PyParis 2018: Machine learning using scikit-learn\n\n### Instructors\n\n* Guillaume Lemaitre - Inria, Paris-Saclay Center for Data Science\n* Jeremie du Boisberranger - scikit-learn @ fondation Inria\n* Joris Van den Bossche - Inria, Paris-Saclay Center for Data Science\n* and others to come ...\n\n### Obtaining the Tutorial Material\n\nIf you have a GitHub account, it is probably most convenient if you clone or\nfork the GitHub repository. You can clone the repository by running:\n\n```bash\ngit clone https://github.com/glemaitre/pyparis-2018-sklearn.git\n```\n\nIf you are not familiar with git or don't have an GitHub account, you can\ndownload the repository as a `.zip` file by heading over to the GitHub\nrepository (https://github.com/glemaitre/pyparis-2018-sklearn) in your browser\nand click the green “Download” button in the upper right.\n\nPlease note that we may add and improve the material until shortly before the\ntutorial session, and we recommend you to update your copy of the materials one\nday before the tutorials. If you have an GitHub account and cloned the\nrepository via GitHub, you can sync your existing local repository with:\n\n```bash\ngit pull origin master\n```\n\nIf you don't have a GitHub account, you may have to re-download the `.zip`\narchive from GitHub.\n\n### Requirements\n\nTo check if your system have the required libraries, you can execute the\nfollowing script:\n\n```bash\npython check_environment.py\n```\n\nIf you are using `conda`, you can create a specific environment for this\ntutorial with the following commands:\n\n```bash\nconda env create environment.yml\nconda activate pyparis_sklearn  # or source activate pyparis_sklearn\n```\n\n### References\n\nThis material is based on the fruitful work of the `scikit-learn` community and\nmore broadly to the Pythonista of the whole data science community.","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fglemaitre%2Fpyparis-2018-sklearn","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fglemaitre%2Fpyparis-2018-sklearn","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fglemaitre%2Fpyparis-2018-sklearn/lists"}