Course content, includes my step by step process:
- Start with a business case
- How to build a data table, that supports customer Churn modelling, one column at a time
- Include the most important metrics that have consistently proven to influence Customer Churn.
- Understand & apply two models that have consistently performed well in predicting Churn
- Share the secrets that statisticians use to build good models, with the open-source version of #RapidMiner.
- Leveraging AutoML, where RapidMiner does the feature selection, engineering and model validation for you, to help you select the best model and save time and effort.
- Know the common pitfalls, that will invalidate your model
- How to score your current customers with the best model
- What to do with the predictions