17.3 - Case Study 1: Customer Churn Prediction in Telecom
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Practice Questions
Test your understanding with targeted questions
Define customer churn in your own words.
💡 Hint: Think about what happens when customers stop using a service.
What does SMOTE stand for?
💡 Hint: Consider the need to handle minority classes in data.
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Interactive Quizzes
Quick quizzes to reinforce your learning
What is customer churn?
💡 Hint: Think about customer retention.
What technique was used to tackle data imbalance?
💡 Hint: Consider which method addresses class representation in data.
2 more questions available
Challenge Problems
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Analyze the implications of a predictive model that fails to account for imbalanced data. How could that affect a telecom company's retention strategy?
💡 Hint: Consider the costs associated with misallocated retention efforts.
Provide an example of how SHAP outputs could be presented in a business meeting to help non-technical stakeholders understand customer churn predictions.
💡 Hint: Think about visual representation and storytelling to convey data effectively.
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