5 Commonly Used Python Datasets
Last Updated on July 25, 2023 by Editorial Team
Author(s): Yeung WONG
Originally published on Towards AI.
There are some handy datasets ready to be analysed and can be easily obtained from Python scikit-learn package
Scikit-learn (sklearn) provides several datasets that are useful for practicing machine learning techniques. These datasets can be accessed through the sklearn.datasets module, which contains a variety of real-world and toy datasets that can be used for classification, regression, clustering, and more.
This article is for data scientist beginners who want to find some datasets for practicing the analyzing skillsets. Please find below a quick summary of some sklearn datasets and some relevant codes on how to analyse them.
Photo by La-Rel Easter on Unsplash
The iris dataset is a classic and widely used dataset for classification tasks in machine learning. It consists of… Read the full blog for free on Medium.
Join thousands of data leaders on the AI newsletter. Join over 80,000 subscribers and keep up to date with the latest developments in AI. From research to projects and ideas. If you are building an AI startup, an AI-related product, or a service, we invite you to consider becoming aΒ sponsor.
Published via Towards AI