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  1. Kaggle: Your Machine Learning and Data Science Community

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

  2. Kaggle - Wikipedia

    Kaggle is a data science competition platform and online community for data scientists and machine learning practitioners under Google LLC.

  3. What Is Kaggle and What Is It Used For? - Coursera

    Jan 29, 2025 · Kaggle is a platform for data science competitions, where data scientists and machine learning engineers can compete to create the best models for solving specific problems or analysing …

  4. What is Kaggle? - GeeksforGeeks

    Jul 23, 2025 · Kaggle is a powerful online platform where the data science and machine learning community comes together. Launched in 2010, Kaggle provides a place in which data scientists, …

  5. About kaggle

    Fueling data-driven innovation, Kaggle ignites collaboration and competition and advancing machine learning.

  6. Kaggle Datasets

    Get up and running with kaggledatasets quickly through popular frameworks.

  7. Kaggle - YouTube

    Kaggle’s global community of practitioners, researchers, and enthusiasts collaborate to shape the frontier of AI. Through AI competitions, benchmarks, agentic evaluation, Kaggle serves as...

  8. Kaggle – AI INTERNET RESOURCE GUIDE - Sites at Penn State

    Kaggle is a platform for data science competitions, datasets, and machine learning education. It was founded in 2010 and acquired by Google in 2017. Kaggle hosts a variety of data science …

  9. Find Open Datasets and Machine Learning Projects | Kaggle

    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.

  10. Learn Python, Data Viz, Pandas & More | Tutorials | Kaggle

    Practical data skills you can apply immediately: that's what you'll learn in these no-cost courses. They're the fastest (and most fun) way to become a data scientist or improve your current skills.