5 Free data set sources to use for data science projects
When working on a data-driven project, finding reliable and high-quality data sets is essential. Fortunately, there are several free sources available that provide access to a wide range of data sets across various domains.
However, please pay attention to the data’s quality, documentation and any licensing restrictions associated with each data set. This article will explore five free data set sources that you can utilize for your next project.
Kaggle is a popular platform for data scientists and machine learning enthusiasts. It offers a huge selection of open-access data sets in addition to hosting machine learning competitions. The databases cover a wide range of subjects, including social sciences, healthcare and finance. The community-driven methodology used by Kaggle guarantees that data sets are regularly updated and maintained.
New Kaggle hoodie arrived just in time! @kaggle has launched a very interesting Large Language model competition aimed at answering science based MCQs using (Large) LMsI’ll end my Kaggle break for this oneIt’s the perfect problem for anyone to supercharge their learning! pic.twitter.com/eMKeOnUBZ8
The University of California, Irvine’s UCI Machine Learning Repository is a comprehensive collection of data sets that are often utilized in the machine learning community. It provides data sets for many different types of tasks, such as classification, regression and clustering. Each data set in the repository has a full description, a list of attributes and instructions for data preprocessing.
Related: 9 data science project ideas for beginners
A search engine called Google Dataset Search is dedicated to assisting users in discovering publicly accessible data sets. It indexes a huge
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