{"id":13937241,"url":"https://github.com/mike-perdide/scikit-learn-tutorial","last_synced_at":"2025-08-08T02:24:10.814Z","repository":{"id":138430833,"uuid":"1555490","full_name":"mike-perdide/scikit-learn-tutorial","owner":"mike-perdide","description":"Applied Machine Learning in Python with scikit-learn","archived":false,"fork":false,"pushed_at":"2011-04-01T12:59:36.000Z","size":868,"stargazers_count":47,"open_issues_count":0,"forks_count":102,"subscribers_count":12,"default_branch":"master","last_synced_at":"2024-08-08T23:26:44.686Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"http://scikit-learn.github.com/scikit-learn-tutorial/","language":"Python","has_issues":false,"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/mike-perdide.png","metadata":{"files":{"readme":"README.rst","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}},"created_at":"2011-04-01T12:54:28.000Z","updated_at":"2024-04-29T15:50:41.000Z","dependencies_parsed_at":"2023-03-23T23:33:23.351Z","dependency_job_id":null,"html_url":"https://github.com/mike-perdide/scikit-learn-tutorial","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/mike-perdide%2Fscikit-learn-tutorial","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mike-perdide%2Fscikit-learn-tutorial/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mike-perdide%2Fscikit-learn-tutorial/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mike-perdide%2Fscikit-learn-tutorial/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mike-perdide","download_url":"https://codeload.github.com/mike-perdide/scikit-learn-tutorial/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":226693903,"owners_count":17667757,"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":[],"created_at":"2024-08-07T23:03:25.509Z","updated_at":"2024-11-27T05:31:02.397Z","avatar_url":"https://github.com/mike-perdide.png","language":"Python","readme":".. -*- mode: rst -*-\n\nAbout\n=====\n\n``scikit-learn`` is a python module for machine learning built on\ntop of numpy / scipy.\n\nThe purpose of the ``scikit-learn-tutorial`` subproject is to learn\nhow to apply machine learning to practical situations using the\nalgorithms implemented in the ``scikit-learn`` library.\n\nThe target audience is experienced Python developers familiar with\nnumpy and scipy.\n\n\nDownloading the PDF\n-------------------\n\nPrebuilt versions of this tutorial are available from the `github download\npage`_.\n\nWhile following the exercices you might find helpful to use the official\n`scikit-learn user guide (PDF)`_ as a more comprehensive reference::\n\nIf you need a numpy refresher please first have a look at the\n`Scientific Python lecture notes (PDF)`_, esp. chapter 4.\n\n.. _`github download page`: https://github.com/scikit-learn/scikit-learn-tutorial/archives/master\n.. _`scikit-learn User Guide (PDF)`: http://downloads.sourceforge.net/project/scikit-learn/documentation/user_guide-0.7.pdf\n.. _`Scientific Python lecture notes (PDF)`: http://scipy-lectures.github.com/_downloads/PythonScientific.pdf\n\n\nOnline HTML version\n-------------------\n\nThe prebuilt HTML version is published as a github pages:\n\n  http://scikit-learn.github.com/scikit-learn-tutorial\n\n\nSource code of the tutorial and exercises\n-----------------------------------------\n\nThe project is hosted on github at https://github.com/scikit-learn/scikit-learn-tutorial\n\n\nBuilding the tutorial\n=====================\n\nYou can build the HTML and PDF (requires pdflatex) versions of this\ntutorial by installing sphinx (1.0.0+)::\n\n  $ sudo pip install -U sphinx\n\nThen for the html variant::\n\n  $ cd tutorial\n  $ make html\n\nThe results is available in the ``_build/html/`` subdolder. Point your browser\nto the ``index.html`` file for table of content.\n\nTo build the PDF variant::\n\n  $ make latex\n  $ cd _build/latex\n  $ pdflatex scikit_learn_tutorial.tex\n\nYou should get a file named ``scikit_learn_tutorial.pdf`` as output.\n\n\nMailing list\n============\n\nIf you have questions about this tutorial you can ask them on the\n``scikit-learn`` mailing list on sourceforge:\nhttps://lists.sourceforge.net/lists/listinfo/scikit-learn-general\n\n\nIRC channel\n===========\n\nSome developers tend to hang around the channel ``#scikit-learn``\nat ``irc.freenode.net``, especially during the week preparing a new\nrelease. If nobody is available to answer your questions there don't\nhesitate to ask it on the mailing list to reach a wider audience.\n\n\nLicense\n=======\n\nThis tutorial is distributed under the Creative Commons Attribution\n3.0 license. The python source code and exercices solutions are\ndistributed under the same license as the ``scikit-learn`` project\n(Simplidied BSD).\n\n","funding_links":[],"categories":["Python"],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmike-perdide%2Fscikit-learn-tutorial","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmike-perdide%2Fscikit-learn-tutorial","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmike-perdide%2Fscikit-learn-tutorial/lists"}