UC Irvine Machine Learning Repository
A repository of 689 datasets for machine learning, offering free access to data used globally for research and education.
Score
30
User Rating
3.0
Free/Trial Support
Supported
Starting Price
--
Last Updated
Apr 24, 2026
Overview
What is UC Irvine Machine Learning Repository?
The UC Irvine Machine Learning Repository is a public service providing a collection of datasets for machine learning and data mining. It hosts 689 datasets, including classics like Iris and newer ones like Amazon reviews, supporting classification, regression, clustering, and other tasks.
What is UC Irvine Machine Learning Repository used for?
Top Features
- Free access to 689 datasets
- Supports multiple ML tasks (classification, regression, clustering)
- Ability to donate and link datasets
- Popular and new dataset listings
How to use UC Irvine Machine Learning Repository?
Visit the website to browse datasets by popularity or new additions. Download datasets for analysis, contribute your own datasets, or link external ones. Use the data for academic research, model training, or educational purposes.
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Pros & Cons
Pros
- Large variety of datasets
- Free and open access
- Useful for education and research
- Global community usage
Cons
- Limited customizability
- No advanced search or filtering mentioned
- May require data preprocessing
Use Cases
- Academic research in machine learning
- Student projects and coursework
- Data analysis and model training
- Benchmarking algorithms
UC Irvine Machine Learning Repository Pricing
Free Plan
No detailed pricing information available
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