The projects of this program helps in learning to:
- Test Python code and build a Python package
- Build predictive models using a variety of unsupervised and supervised machine learning techniques.
- Use Amazon SageMaker to deploy machine learning models to production environments.
- A/B test two different deployed models and evaluate their performance.
- Utilize an API to deploy a model to a website such that it responds to user input, dynamically.
- Update a deployed model, in response to changes in the underlying data source.