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  1. Kaggle is a website that hosts machine learning competitions, datasets, and notebooks for data science enthusiasts. You can join events, learn from tutorials, and collaborate with other users on Kaggle.

    • Datasets

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

    • Python

      Python - Kaggle: Your Machine Learning and Data Science...

    • Learn

      Practical data skills you can apply immediately: that's what...

    • Code Notebooks

      Code Notebooks - Kaggle: Your Machine Learning and Data...

    • Sign In

      Kaggle is the world’s largest data science community with...

    • Register

      Kaggle is the world’s largest data science community with...

    • Comment Discussions

      Kaggle Discussions: Community forum and topics about machine...

    • Intro to Programming

      Intro to Programming - Kaggle: Your Machine Learning and...

  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. 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.

  5. 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 explore data science topics and trends.

  6. Mar 10, 2017 · Learn a simple 4-step process to master competitive machine learning on Kaggle, a platform for hosting machine learning competitions. Pick a platform, practice on standard datasets, practice old Kaggle problems, and compete on Kaggle.

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  8. Learn how to use exploratory data analysis (EDA) and supervised learning to predict survival on the Titanic data set. Follow the steps to import, visualize, engineer and model the data on Kaggle.

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