This example notebook shows how to use mutiple models from SageMaker for prediction and combine then into an ensemble prediction.

It demonstrates the following:

• Basic setup for using SageMaker.
• converting datasets to protobuf format used by the Amazon SageMaker algorithms and uploading to user provided S3 bucket.
• Training SageMaker's XGBoost algorithm on the data set.
• Training SageMaker's Linear Learner on the data set.
• Hosting the trained models.
• Scoring using the trained models.
• Combining predictions from the trained models in an ensemble.