[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"project-78570":3},{"id":4,"name":5,"fullName":6,"owner":7,"repo":5,"description":8,"homepage":9,"htmlUrl":10,"language":11,"languages":10,"totalLinesOfCode":10,"stars":12,"forks":13,"watchers":14,"openIssues":15,"contributorsCount":16,"subscribersCount":16,"size":16,"stars1d":17,"stars7d":18,"stars30d":19,"stars90d":16,"forks30d":16,"starsTrendScore":20,"compositeScore":21,"rankGlobal":10,"rankLanguage":10,"license":22,"archived":23,"fork":23,"defaultBranch":24,"hasWiki":25,"hasPages":25,"topics":26,"createdAt":10,"pushedAt":10,"updatedAt":30,"readmeContent":31,"aiSummary":32,"trendingCount":16,"starSnapshotCount":16,"syncStatus":33,"lastSyncTime":34,"discoverSource":35},78570,"data-science-interviews","alexeygrigorev\u002Fdata-science-interviews","alexeygrigorev","Data science interview questions and answers","https:\u002F\u002Falexeygrigorev.com\u002Fdata-science-interviews\u002F",null,"HTML",10034,2146,219,6,0,1,12,23,3,45,"Creative Commons Attribution 4.0 International",false,"master",true,[27,5,28,29],"data-science","interview-questions","machine-learning","2026-06-12 02:03:47"," \n\u003Cfigure>\n    \u003Cimg src=\"img\u002Frepo-logo.jpg\">\n    \u003Cfigcaption>Photo by \u003Ca href=\"https:\u002F\u002Fpxhere.com\u002Fen\u002Fphotographer\u002F395564\">Waseem Farooq\u003C\u002Fa> from \u003Ca href=\"http:\u002F\u002Fpxhere.com\u002Fen\u002Fphoto\u002F1446003\">PxHere\u003C\u002Fa>\u003C\u002Ffigcaption>\n\u003C\u002Ffigure>\n\n# Data Science Interviews\n\nData science interview questions - with answers\n\nThe answers are given by the community\n\n* If you know how to answer a question — please create a PR with the answer\n* If there's already an answer, but you can improve it — please create a PR with improvement suggestion\n* If you see a mistake — please create a PR with a fix\n\nFor updates, follow me on Twitter ([@Al_Grigor](https:\u002F\u002Ftwitter.com\u002FAl_Grigor)) and on LinkedIn ([agrigorev](https:\u002F\u002Fwww.linkedin.com\u002Fin\u002Fagrigorev))\n\nDo you want to talk about data? Join [DataTalks.Club](https:\u002F\u002FDataTalks.Club)\n\n\n## Questions by category\n\n* Theoretical questions: [theory.md](theory.md) (linear models, trees, neural networks and others)\n* Technical questions: [technical.md](technical.md) (SQL, Python, coding)\n* More to come\n\n## Contributed questions\n\nThe `contrib` folder contains contributed interview questions:\n\n* Probability: [contrib\u002Fprobability.md](contrib\u002Fprobability.md)\n* Add your questions here!\n\n## Other useful things\n\n* Awesome data science interview questions and other resources: [awesome.md](awesome.md)\n\n\nThis is a joint effort of many people. You can see the list of contributors here: [contributors.md](contributors.md)\n\n## License\n\nThis work is licensed under a [Creative Commons Attribution 4.0 International License][cc-by].\n\n[![CC BY 4.0][cc-by-image]][cc-by]\n\n[cc-by]: http:\u002F\u002Fcreativecommons.org\u002Flicenses\u002Fby\u002F4.0\u002F\n[cc-by-image]: https:\u002F\u002Fi.creativecommons.org\u002Fl\u002Fby\u002F4.0\u002F88x31.png\n","该项目是一个数据科学面试题库，包含了大量的数据科学面试问题及其答案。其核心功能在于提供了一个社区驱动的平台，让参与者能够提交、改进和修正关于理论和技术方面的问题与解答，涵盖线性模型、树、神经网络等理论知识以及SQL、Python编程等技术技能。适用于准备数据科学岗位面试的人士使用，帮助他们更好地理解和掌握相关领域的知识点。",2,"2026-06-11 03:56:56","high_star"]