There are many public datasets available for machine learning that can be used for research, experimentation, and model development. Here are some popular sources of public datasets for machine learning:
UCI Machine Learning Repository: This is a collection of datasets that cover a wide range of topics, including classification, regression, and clustering. The datasets are available in various formats, including CSV, ARFF, and others.
Kaggle Datasets: Kaggle is a platform for data science competitions and also provides a collection of public datasets. The datasets cover various domains, including computer vision, natural language processing, and tabular data.
Google Dataset Search: Google Dataset Search is a search engine for datasets that allows users to find datasets from a variety of sources, including government agencies, universities, and research institutions.
Amazon Web Services (AWS) Public Datasets: AWS provides a collection of public datasets that can be used for machine learning and other applications. The datasets cover a range of domains, including genomics, astronomy, and finance.
Open Data on AWS: This is a collection of public datasets that are hosted on AWS. The datasets cover various domains, including healthcare, finance, and transportation.
Data.gov: This is the US government's open data portal, which provides access to thousands of datasets from various government agencies.
Microsoft Research Open Data: This is a collection of datasets from Microsoft Research that cover various domains, including healthcare, education, and social media.
