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Home/Artificial Intelligence/A Survival Analysis Guide with Python: Using Time-To-Event Models to Forecast Customer Lifetime
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A Survival Analysis Guide with Python: Using Time-To-Event Models to Forecast Customer Lifetime

Understand survival analysis by modeling customer retention through Kaplan-Meier curves and Cox Proportional Hazard regressions. The post A Survival Analysis Guide with Python: Using Time-To-Event Models to Forecast Customer Lifetime appeared first on Towards Data Science.

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