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Tuesday Tip #21: Find the perfect dataset for your next project π―
Hi Reader, letβs get straight to the tip this week!
π Tip #21: Five sources for interesting datasets
Letβs say that you need to find a dataset for a Data Science project. Perhaps this is a project for school, or a practice project to build up your portfolio and showcase your skills.
Where should you look? Here are 5 sources I recommend checking out:
- βKaggle Datasets: Itβs fun to browse, and the upvoting system makes it easy to discover higher-quality datasets. Also, its Data Explorer lets you see a preview of the raw data.
- βData Is Plural: This is a fascinating weekly newsletter (since 2015!) that highlights βuseful/curious datasets.β Search its archive via a Google Sheet or web app.
- βAwesome Public Datasets: A gigantic list (on GitHub) of high-quality datasets grouped by topic.
- βData.gov: Open data from the US government. Itβs huge, well-organized, and more interesting than you would think!
- βGoogle Dataset Search: This is a great way to search for a dataset, especially if you already have a specific topic in mind. Also, the autocomplete feature is quite nice!
Want even more options? Sebastian Raschka compiled this list of dataset repositories for Machine Learning and Deep Learning.
If you enjoyed this weekβs tip, please forward it to a friend! Takes only a few seconds, and it really helps me out! π
See you next Tuesday!
- Kevin
P.S. If toddlers had lawyers (video)
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Kevin Markham
Join 25,000+ aspiring Data Scientists and receive Python & Data Science tips every Tuesday!
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