Commonly used data set websites

Kaggle：Find Open Datasets and Machine Learning Projects | KaggleDownload Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Flexible Data Ingestion.https://www.kaggle.com/datasets

UCI：UCI Machine Learning Repository​​​​​​http://archive.ics.uci.edu/ml/index.php

sklearn Chinese version:[Buke] sklearn Chinese translationhttps://sklearn.apachecn.org/#/

scikit-learn Chinese CommunityScikit-learn (formerly scikits.learn, also known as sklearn) is a free software machine learning library for the Python programming language. It features various classification, regression and clustering algorithms, including support vector machines, random forests, gradient boosting, k-means and DBSCAN. Scikit-learn Chinese documents are translated by CDA Data Science Institute. Scan the QR code to follow for more information. https://scikit-learn.org.cn/

sklearn English version:

Installing scikit-learn — scikit-learn 1.2.2 documentationThere are different ways to install scikit-learn: Install the latest official release. This is the best approach for most users. It will provide a stable version and pre-built packages are availabl...https://scikit-learn.org/stable/install.html超神经：

Super God Connection https://hyper.ai/ Love Mathematics:

http://www.idatascience.cn/http://www.idatascience.cn/gtouplens：

Book Genome Dataset | GroupLenshttps://grouplens.org/datasets/book-genome/阿里云TIANCHI天池：

Taobao user shopping behavior data set_Dataset-Alibaba Cloud TianchiUserBehavior is a Taobao user behavior data set provided by Alibaba, used for research on implicit feedback recommendation issues. https://tianchi.aliyun.com/dataset/649Visible links to other data sets: Recommendation system research in progress Data set organization - Zhihu First, let’s explain several categories in the recommendation system data: Item: That is, what we want to recommend, such as a product, movie, web page, or a piece of information User : The person who rates the item and accepts the items recommended by the recommendation system. Rating: The expression of the user's preference for the item. The score can be two...https://zhuanlan.zhihu.com/p/29416305?utm_id=0

Which websites do you use to find information? - ZhihuIt can be a large industry or a subdivided producthttps://www.zhihu.com/question/27692329?sort= created