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

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