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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
Explore all public datasets. Download Open Datasets on 1000s...
- Sign In
Sign In - Kaggle: Your Machine Learning and Data Science...
- Python
Python - Kaggle: Your Machine Learning and Data Science...
- Learn
Practical data skills you can apply immediately: that's what...
- Code Code
Code Code - Kaggle: Your Machine Learning and Data Science...
- Kaggle Competitions
Kaggle Competitions - Kaggle: Your Machine Learning and Data...
- Tenancy Models
Explore machine learning code authored by the Kaggle...
- Register
Register - Kaggle: Your Machine Learning and Data Science...
- Datasets
Explore all public datasets. 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.
Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals.
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 ...
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.
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 environment), Datasets and Learn ...
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- Kaggle
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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.