Add more advanced use cases

Kubeflow community is growing fast. This repository covers basic tutorial for users.
I think strategy for next step is to

- bring different phases of machine learning into picture like data loading, model management and experiment, A/B testing.
- integrate with existing AWS services and simplify user's setup.

Action items could be

1. Integration with EKS component, like how to easily setup PV using CSI Plugin, Ingress Controller.
2. Integration with AWS services, like JupyterHub authentication, logs backend.
3. Integrated E2E production ready solution. Multi-tenancy support, Traffic management(Istio), metrics and log solution, CI/CD.

Once these things done, we can contribute back to community.