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  1. Kaggle offers open datasets and machine learning projects for various domains and tasks. You can filter, download, and share data on one platform, or create and collaborate on your own projects.

    • Kaggle Code

      Kaggle Notebook Editor for Data Scientists. Kaggle Notebook...

    • Contact Us

      Contact Us - Find Open Datasets and Machine Learning...

    • Data Science Job Salaries

      Salaries of jobs in the Data Science domain

    • Search

      Kaggle uses cookies from Google to deliver and enhance the...

    • CSV

      Download Open Datasets on 1000s of Projects + Share Projects...

    • Flights and Airports Data

      Cleansed data to be used to explore data science techniques

    • Larxel

      ## About Me > I used to volunteer on a small NGO and my days...

    • Video Game Sales

      Analyze sales data from more than 16,500 games. Analyze...

  2. Kaggle is a platform for data science competitions, projects, and learning. Explore active events, datasets, kernels, and more to advance your skills and knowledge.

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

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

    Kaggle is a data science competition platform and online community of data scientists and machine learning practitioners under Google LLC. Kaggle enables users to find and publish datasets, explore and build models in a web-based data science environment, work with other data scientists and machine learning engineers, and enter competitions to ...

  5. Mar 8, 2017 · Learn what Kaggle is and why it is one of the most popular platforms for data scientists. Find out how to use Kaggle for competitions, courses, datasets, notebooks, and jobs.

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

    Kaggle is the world's largest community of data scientists. Watch videos to learn how to use Kaggle's platform, compete in competitions, collaborate with others, and access free code and data.

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