This repository contains example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker(https://aws.amazon.com/amazon-ai/).
- XGBoost for Direct Marketing targets potential customers that are most likely to convert based on customer and aggregate level metrics.
- PCA and k-means for Movie Clustering creates clusters of movies based on genre, ratings, and other characteristics.
- Installing the R Kernel shows how to install the R kernel into an Amazon SageMaker Notebook Instance.
- Bring Your Own Model for k-means shows how to take a model that's been fit elsewhere and use Amazon SageMaker containers to host.
- Bring Your Own Algorithm with R shows how to bring your own algorithm container to Amazon SageMaker using the R language.