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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
Define customer churn in your own words.
💡 Hint: Think about what happens when customers stop using a service.
Question 2
Easy
What does SMOTE stand for?
💡 Hint: Consider the need to handle minority classes in data.
Practice 4 more questions and get performance evaluation
Interactive Quizzes
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What is customer churn?
💡 Hint: Think about customer retention.
Question 2
What technique was used to tackle data imbalance?
- SMOTE
- Logistic Regression
- Random Forests
💡 Hint: Consider which method addresses class representation in data.
Solve 2 more questions and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
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.
Question 2
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.
Challenge and get performance evaluation