Continous Deployment - Modelling Workflow

This workflow is using Integrated Deployment in a complex Guided Analytics application hardcoded to work with a Churn Prediction dataset.

Workflow steps:
- access and blend the data
- perform data exploration
- prepare the data with normal nodes and an interactive view
- optimize, train and test two models
- retrain and test the interactively selected model
- generate a final training workflow
- generate a final deployment workflow from the training workflow
- deploy the workflow on KNIME Server

This workflow also works on KNIME WebPortal and its use case is simple churn prediction