GitHub - aws/amazon-sagemaker-examples: Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

These examples show you how to use SageMaker Processing jobs to run data processing workloads. These examples show you how to use SageMaker Pipelines to create, automate and manage end-to-end Machine Learning workflows. These examples show you how to train and host in pre-built deep learning framework containers using the SageMaker Python SDK. These examples show you how to build Machine Learning models with frameworks like Apache Spark or Scikit-learn using SageMaker Python SDK. These examples show how to use Amazon SageMaker for model training, hosting, and inference through Apache Spark using SageMaker Spark.