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  1. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.

  2. Download Open Datasets on 1000s of Projects + Share Projects on One Platform. Explore Popular Topics Like Government, Sports, Medicine, Fintech, Food, More. Flexible Data Ingestion.

  3. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.

  4. We pare down complex topics to their key practical components, so you gain usable skills in a few hours (instead of weeks or months). The courses are provided at no cost to you, and you can now earn certificates. Learn more.

  5. Search | Kaggle. Kaggle uses cookies from Google to deliver and enhance the quality of its services and to analyze traffic. Learn more. OK, Got it. Search for anything on Kaggle.

  6. Explore all competitions. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.

  7. en.wikipedia.org › wiki › KaggleKaggle - Wikipedia

    History. Kaggle was founded by Anthony Goldbloom and Ben Hamner in April 2010. [2] Jeremy Howard, one of the first Kaggle users, joined in November 2010 and served as the President and Chief Scientist. [3] Also on the team was Nicholas Gruen serving as the founding chair. [4]

  8. www.youtube.com › @kaggleKaggle - YouTube

    Kaggle's platform is the fastest way to get started on a new data science project. Spin up a Jupyter notebook with a single click. Build with our huge repository of free code and data.

  9. Oct 16, 2018 · In this video, Kaggle Data Scientist Rachael gives you a quick tour of the Kaggle platform, including Kernels (our hosted, in-browser data science coding env...

  10. Mar 8, 2017 · Kaggle is an online community platform for data scientists and machine learning enthusiasts. Kaggle allows users to collaborate with other users, find and publish datasets, use GPU integrated notebooks, and compete with other data scientists to solve data science challenges.

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