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Practical Predictive Analytics by Ralph Winters

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Summary

In this chapter, we learned about what survival analysis is, and how two main techniques, Kaplan-Meir and Cox Regression, can be used to explain and predict customer churn.

We also learned how we can generate our own data to test assumptions and test the robustness of the models.

Finally, we included some coding techniques to help us reproduce and save our generated code and images.

In the next chapter, we will not be concerned with a customer leaving, but will cover how to keep customers happy by predicting what they will purchase next using a technique known as Market Basket Analysis.

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