SageMaker provides hosted Jupyter notebooks that require no setup, so you can begin processing your training data sets immediately. With a few clicks in the SageMaker console, you can create a fully managed notebook instance, pre-loaded with useful libraries for machine learning. You need only add your data.
To create a SageMaker notebook instance for this workshop, follow the instructions atCreating a Notebook Instance, then return here to continue with the next module of the workshop.
The notebooks and content of this repo is copied from Amazon SageMaker workshops