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Fun with Numbers: Detective Techniques
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Module 5
The Disappearing Clients
1
Predicting Customer Churn with Logistic Regression
Build a logistic regression model to predict the probability of a client returning based on their profile and engagement data.
2
Assessing Churn Model Performance
Evaluate the model's overall performance in explaining the observed pattern of client attrition.
3
Interpreting Coefficients as Odds Ratios for Client Disappearance
Translate the model's coefficients into odds ratios to pinpoint and interpret the key factors that most significantly increase the odds of a client disappearing.
Previous module
The Fixed Survey
Next module
The Arrangement Dispute