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How do you handle imbalanced datasets when performing predictive modeling?

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Data Analyst
Marketer
General
Technical

When answering, mention techniques like resampling (oversampling/undersampling), using different evaluation metrics (like AUC-ROC, precision-recall), and algorithms that are robust to imbalances. Giving an example from your own experience can strengthen your response.

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Medium Difficulty

Medium questions delve deeper, challenging you to apply your knowledge to common scenarios. They test your ability to think on your feet and adapt your basic skills to real-world contexts.

Technical question

Technical questions probe into your industry-specific knowledge and skills. They require precise answers and are an opportunity to show your expertise and practical abilities in your field.

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