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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. www.youtube.com › @kaggleKaggle - YouTube

    Kaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get started on a new...

  5. 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.

  6. Oct 16, 2018 · About Kaggle: Kaggle is the world's largest community of data scientists. Join us to compete, collaborate, learn, and do your data science work. Kaggle's platform is the fastest way to get...

  7. Learn how to build your first machine learning model, a decision tree classifier, with the Python scikit-learn package, submit it to Kaggle and see how it performs!

  8. Mar 10, 2017 · Kaggle is a community and site for hosting machine learning competitions. Competitive machine learning can be a great way to develop and practice your skills, as well as demonstrate your capabilities. In this post, you will discover a simple 4-step process to get started and get good at competitive machine learning on Kaggle. Let’s get started.

  9. Jul 3, 2022 · In this guide, we'll cover everything beginners need to know about getting started on Kaggle. Plus, we'll share our 7 favorite tips for enjoying Kaggle. Skip to content

  10. Includes indexing, slicing and mutating. For and while loops, and a much-loved Python feature: list comprehensions. Working with strings and dictionaries, two fundamental Python data types. Imports, operator overloading, and survival tips for venturing into the world of external libraries.

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