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What measures would you take to balance an imbalanced dataset effectively?

How do you quantify the factors affecting the ride requests of the company?

What outlier detection techniques have you implemented in your previous work?

Imagine you're building a metric to compare two user's Netflix recommended lists of movie/tv show preferences. What factors would you prioritize in the development process?

Tell me about a time when you had to compromise

Precision and recall are two common metrics used to evaluate the performance of classification models. Can you explain what they measure and how they are calculated? Also, discuss some situations where these metrics may not be suitable for assessing model accuracy.

Describe a time when you had a disagreement with your manager.

If you give N users a 5$ coupon, with the probability of usage being P, what is the expected coupon spend? What assumptions would you make to underpin that answer? What is the probability that one of the coupons will be used?

Describe the assumptions of linear regression, and why they are important to consider when interpreting results?

Can you demonstrate how you would determine the rolling average for a certain metric over a designated period of time?