All notable changes to this project will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
- unsupervised learning model with Amazon SageMaker Random Cut Forest
- data upsampling techniques like SMOTE for addressing imbalanced data
- More interpretation of results
- supervised learning model with XGBoost
- Amazon API Gateway entrypoint
- Supervised learning model with SageMaker linear learner
- initial checkin