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sagemaker_logo

Amazon SageMaker Example Notebooks

https://readthedocs.org/projects/sagemaker-examples-test-website/badge/?version=latest

Welcome to Amazon SageMaker. This site highlights example Jupyter notebooks for a variety of machine learning use cases that you can run in SageMaker.

This site is based on the SageMaker Examples repository on GitHub. Browse around to see what piques your interest. To run these notebooks, you will need a SageMaker Notebook Instance or SageMaker Studio. Refer to the SageMaker developer guide's Get Started page to get one of these set up.

On a Notebook Instance, the examples are pre-installed and available from the examples menu item in JupyterLab. On SageMaker Studio, you will need to open a terminal, go to your home folder, then clone the repo with the following:

git clone https://github.com/aws/amazon-sagemaker-examples.git
.. toctree::
   :maxdepth: 1
   :hidden:
   :caption: Get started

   get_started/index


.. toctree::
   :maxdepth: 1
   :caption: Featured examples

   aws_sagemaker_studio/index


.. toctree::
   :maxdepth: 1
   :caption: Autopilot

   autopilot/index


.. toctree::
   :maxdepth: 1
   :caption: Preprocessing

   preprocessing/index
   ground_truth_labeling_jobs/index


.. toctree::
   :maxdepth: 1
   :caption: Training

   training/index


.. toctree::
   :maxdepth: 1
   :caption: Inference

   inference/index


.. toctree::
   :maxdepth: 1
   :caption: Frameworks

   training/frameworks


.. toctree::
   :maxdepth: 1
   :caption: Workflows

   sagemaker_processing/index
   sagemaker-spark/index
   step-functions-data-science-sdk/index


.. toctree::
   :maxdepth: 1
   :caption: Advanced examples

   scientific_details_of_algorithms/index
   aws_marketplace/index


.. toctree::
   :maxdepth: 1
   :caption: Community examples

   contrib/index