- Jason Brownlee, Machine learning datasets used in tutorials on MachineLearningMastery.com
- M. Fernández-Delgado, E. Cernadas, S. Barro, & D. Amorim, (2014). Do we need hundreds of classifiers to solve real world classification problems?. The Journal of Machine Learning Research, 15(1), 3133-3181. (121 datasets in a click!)
Further information:
- Kaggle: (after login) (for example) Netflix Prize data and code
- Will Badr, Top Sources For Machine Learning Datasets, towardsdatascience, Jan 13, 2019
- Data in Brief is a peer reviewed, open access journal.
- Rong-En Fan and Chih-Jen Lin, LIBSVM Data: Classification, Regression, and Multi-label
- elitedatascience, Datasets for Data Science and Machine Learning
- Rdatasets (You could download the csv file and load into your Python by using Pandas.)
- Stacy Stanford, Roberto Iriondo, Pratik Shukla, Best Public Datasets for Machine Learning and Data Science
- Luis Torgo, Regression DataSets
- Larry Winner, Miscellaneous Datasets
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