Automate Retraining of Obesity Models using SageMaker Pipelines

This workshop shows how you can build and deploy SageMaker Pipelines for multistep processes. In this example, we will build a pipeline that:

Deduplicates the underlying data
Trains a built-in SageMaker algorithm (XGBoost)

A common workflow is that models need to be retrained when new data arrives. This notebook also shows how you can set up a Lambda function that will retrigger the retraining pipeline when new data comes in.

Resources :

Github

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