Explorium
Explorium is an External Data Platform that offers ML and AI-based datasets so data scientists can take part in data science competitors and marathons to win prizes.
- Open Source
Best Explorium Alternatives & Competitors in 2024
The best Explorium alternatives based on verified products, community votes, reviews and other factors.
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Open-Source Alternatives.
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Free Jupyter notebook environment in the cloud.
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Hedge fund that crowdsources market trading from AI programmers over the Internet
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Warm up your cold email inbox, and never land in spam anymore!
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Community-funded data science tournaments
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Infosec Skills is technical expertise and engineering development knowledge-building platform where engineers and technical experts can come together to share and learn about the latest security development techniques and strategies.
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Kaggle offers innovative business results and solutions to companies.
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Access millions of detailed company, employee, and job posting data records and gain a panoramic understanding of businesses worldwide.
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Crowd AnalytiX is a data science community and a perfect solution for businesses that want to take advantage of AI but don’t have the in-house expertise or resources.
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Machine Hack is the Machine Learning competition and assessment platform that makes it easy for data scientists, engineers, and business professionals to learn, compete, and get hired.
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Use our dataset of 1.5 billion unique person profiles to build products, enrich person profiles, power predictive modeling/AI, analysis, and more. We work with technical teams as their engineering focused people data partner.
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DataHack & DSAT is a Data hacking competition platform made for Data Scientists that harnesses the potential of experts and solves real-world problems.
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Best Courses. Top Institutions. Learn anytime, anywhere.
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Treehouse is an award-winning online platform that teaches people how to code.
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DrivenData hosts data science competitions to build a better world, bringing cutting-edge predictive models to organizations tackling the world's toughest problems.