Amazon SageMaker notebooks provide a fully-managed environment for machine learning and data science development. You will use a SageMaker notebook instance to train and deploy a machine learning model using Python. You will go through the process of preparing raw data for use with machine learning algorithms. Then you will use a built-in SageMaker algorithm to train a model using the prepared data. Lastly, you will use SageMaker to host the trained model and learn how you can make real-time predictions using the model.
Upon completion of this Lab you will be able to:
pandas
) and the SageMaker Python SDK to:
This lab is intended for:
You should be familiar with:
September 7th, 2023 - Resolved an issue installing package dependencies in the lab notebook
June 17th, 2023 - Resolved training job issue
January 10th, 2022 - Updated notebook to ensure dependencies are up to date
December 2nd, 2020 - Updated code to be compliant with the SageMaker v2 library; Modified code to prevent training job name collisions