From the course: Learning Amazon SageMaker (2019)

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Investigate data

Investigate data

From the course: Learning Amazon SageMaker (2019)

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Investigate data

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- [Instructor] Now in this example, the churn, this churn term here will just allow you to automatically preview the dataset. I might actually remove this just for a moment just to show you how we can look at that in a bit more of an efficient way. So, executing that cell automatically imports that churn function. When pressing the plus button, we can create some additional cells to run commands. So, usually when I import a new dataset, I won't try and preview the whole dataset just giving the name of the dataset here, because it was an extremely large object, then it might actually take a long time to preview, so instead I like using the head function which will just preview the first 10 rows. So, executing this using Shift and Return just shows the first 10 rows. You can see that with this churn dataset, there's a number of different values. You can see that each column as well is visible. And there's a number of different types of data elements some of which are quite unknown at…

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