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按分类查找All Leetcode/题库(12) 
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[Leetcode/题库] employee_attrition_prediction_project

与Caleb Pena合作的项目,创建了一个分类模型,以预测来自旧Kaggle竞争的员工流失数据集中的流失可能性。
Project with Caleb Pena that created a classification model to predict the likelihood of attrition in an employee attrition dataset from an old Kaggle competition. (2024-07-04, Jupyter Notebook, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1720029348147441.html

[Leetcode/题库] PHYSLITE_AGC_2024

PHYSLITE数据格式分析大挑战的存储库。该项目在IRIS-HEP研究金计划的框架内进行。
A repository of the Analysis Grand Challenge of the PHYSLITE data format. The project takes place within the framework of the IRIS-HEP fellowship program. (2024-06-24, Jupyter Notebook, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1719231916161823.html

[Leetcode/题库] fgaxbinar_datascience

Repositori ini berisi penyelesaian挑战pada计划数字人才奖学金新生研究生院x比纳尔学院2024
Repositori ini berisi penyelesaian challenge pada program Digital Talent Scholarship Fresh Graduate Academy x Binar Academy 2024 (2024-05-21, Jupyter Notebook, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1716261474220173.html

[Leetcode/题库] Kaggle-Competitions-Notebook

您的Kaggle中心:竞争、资源、提示!探索Kaggle竞赛、编码技巧、文章等的一站式存储库。开放供合作和讨论,这个空间致力于增强我们的集体知识。加入、探索和贡献卡格尔之旅!
Your Kaggle Hub: Competitions, Resources, Tips! Discover a one-stop repository for Kaggle competitions, coding tips, articles, and more. Open for collaboration and discussions, this space is dedicated to enhancing our collective knowledge. Join in, explore, and contribute to the Kaggle journey! (2024-02-04, Jupyter Notebook, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1707052099991271.html

[Leetcode/题库] InternSavy

寻求一个实习机会,以利用我在数据科学方面的技能。很高兴与创新团队合作,并为......做出贡献...,
?? Seeking an internship opportunity to leverage my skills in DataScience?? Excited to collaborate with innovative teams and contribute to meaningful projects. Open to learning, adapting, and embracing challenges. Let s connect and explore potential collaborations! #internship #opportunity #github #coding #programming (2023-08-08, Jupyter Notebook, 0KB, 下载0次)

http://www.pudn.com/Download/item/id/1691522520444596.html

[Leetcode/题库] quora_test

快速Pytorch尝试quora kaggle金蓝
Quick Pytorch attempt at the quora kaggle challende (2017-05-19, Jupyter Notebook, 131KB, 下载0次)

http://www.pudn.com/Download/item/id/1686638678647347.html

[Leetcode/题库] house-prices-prediction-LGBM

该回购协议是为伊斯坦布尔数据科学训练营开发的,与BB和Kodluyoruz合作组织...
This repo has been developed for the Istanbul Data Science Bootcamp, organized in cooperation with ?BB and Kodluyoruz. Prediction for house prices was developed using the Kaggle House Prices - Advanced Regression Techniques competition dataset. (2022-07-10, Jupyter Notebook, 981KB, 下载0次)

http://www.pudn.com/Download/item/id/1686638083740299.html

[Leetcode/题库] Two-Sigma-Financial-Modeling-Challenge-Kaggle

双西格玛财务建模挑战| Kaggle
Two Sigma Financial Modeling Challenge | Kaggle (2018-03-16, Jupyter Notebook, 710KB, 下载0次)

http://www.pudn.com/Download/item/id/1686638046895385.html

[Leetcode/题库] KaggleDogBreedChallenge

金毛寻回犬与设得兰牧羊犬的二元问题
Binary Problem of Golden Retrievers vs. Shetland Sheepdogs (2018-10-15, Jupyter Notebook, 134KB, 下载0次)

http://www.pudn.com/Download/item/id/1686637047307414.html

[Leetcode/题库] cc150

《程序员面试金典》(cc150)
Golden Code of Programmer Interview (cc150) (2020-03-08, Jupyter Notebook, 110KB, 下载0次)

http://www.pudn.com/Download/item/id/1686357179574883.html

[Leetcode/题库] social_media_usage_students_mood_research

亚当,我写的论文。然而,从上述访谈中收集的数据是在合作中产生的...
Paper written by me, Adam. However, the data gathered from the interviews mentioned, have been produced in collaboration with: Claudia Cristescu, Magnus Jahn, Maja Matczewska and Sigurd Meedom. Collaboratively produced empirical work are available in the appendix (except Reddit data scraping) (2022-06-07, Jupyter Notebook, 725KB, 下载0次)

http://www.pudn.com/Download/item/id/1686356418594097.html

[Leetcode/题库] Cybera

本回购协议是为我的Cybera奖学金面试创建的。
This repo is created for my Cybera s Fellowship Interview. (2020-07-20, Jupyter Notebook, 114KB, 下载0次)

http://www.pudn.com/Download/item/id/1686356378187447.html
总计:12