Summary
In this chapter, we learned a little about the history of the Kaggle platform, its resources, and its capabilities. We then introduced the basics of how to create an account and start benefiting from the platform’s resources and interaction with other users.
Initially a platform only for predictive modeling competitions, Kaggle has grown to become a complex data platform, with sections for Competitions, Datasets, Code (Notebooks), and Discussions. Hence, we learned how you can move up the ranks by accumulating ranking points and medals in Competitions and medals in Datasets, Notebooks, and Discussions. In the future, it is possible that Kaggle will also add ranking points for other sections besides Competitions, although this is a subject of debate in the Kaggle community. Additionally, Kaggle provides a learning platform (with Learn) and Models (which can be used in Notebooks).
It’s now time to get ready for your trip around the data analysis world, using Kaggle resources. In the next chapter, you will learn how to use the full capacity of the platform to code, get familiar with the development environment, and learn how to use it to its maximum potential. Let’s get ready!
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