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Predicting the future with Amazon SageMaker

Modules

This workshop is divided into 2 modules, and you can do them in any order.

  • Structured Data Use Case #1: Videogame Sales

  • Structured Data Use Case #2: Predicting Customer Churn

Structured Data Use Case #1: Videogame Sales

In this module, we'll use Amazon SageMaker's built-in version of XGBoost to make predictions based on structured data related to the videogame industry.

Please go to the following link for this module: Videogame Sales.

When you're finished, return here to move on to the next module.

Structured Data Use Case #2: Predicting Customer Churn

This module also uses Amazon SageMaker's built-in version of the XGBoost algorithm, and in it we will be predicting a customers likelyhood of churning, based on data from the telecoms industry.

Please go to the following link for this module: Predicting Customer Churn.

When you're finished, return here and go on to the Cleanup Guide.

Cleanup

To avoid charges for endpoints and other resources you might not need after the workshop, please refer to the Cleanup Guide.

Return to the instructions