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Want to share, use one or more of the "Attach a data source" tools below to do so. `from collections import namedtuple` Using Kaggle Notebooks is easy! You can even use your existing notebooks. Here is an example of a Kaggle Notebook that trains a classifier to predict the number of folds in a given dataset. # The Kaggle Notebook Structure Kaggle Notebooks have a clear structure, with the top-level namespace describing the notebook, the Python module that contains the notebook, and other information about the notebook. We will discuss this structure as we work through the Kaggle Notebook tutorial, but we can take a brief look at it now. The first element is the title of the notebook. You can see the title of the book used in Figure 5-1 by hovering your mouse pointer over the title.




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