From the course: Amazon Web Services Machine Learning Essential Training

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Get data with SageMaker notebook

Get data with SageMaker notebook - Amazon Web Services (AWS) Tutorial

From the course: Amazon Web Services Machine Learning Essential Training

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Get data with SageMaker notebook

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- [Narrator] So now that we've set up our HelloJupyter notebook, let's work with some of the sample notebooks that Amazon provides. So we're going to close this. And you can see by the little green icon that this notebook is running. So it's just a best practice to shut down when you're done. And then we're going to click on the folder to go up a level. And we're going to click into sample-notebooks. And we're going to click into sagemaker-python-sdk. And we're going to click into the first example which is demonstrating the Amazon built-in algorithm called kmeans. Kmeans, if you're not familiar, is an unsupervised, means it doesn't need any labeled data, algorithm that does clustering. It looks for what's called natural groupings in the data. So I'm going to click to open this folder. And I'm going to click to load the notebook. And let's start working with it. We do have to click on the Not Trusted button. Click okay. And there, our kernel is ready. So in addition to understanding…

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