Welcome to MockInterview.co‘s Data Science Interview Questions library! (200+ questions & growing)
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- Prepare: You can browse through these question set to prepare for your data science interviews.
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[Probability] You're about to get on a plane to Seattle. You want to know if you should bring an umbrella. You call 3 random friends of yours who live there and ask each independently if it's raining. Each of your friends has a 2/3 chance of telling you the truth and a 1/3 chance of messing with you by lying. All 3 friends tell you that "Yes" it is raining. What is the probability that it's actually raining in Seattle?
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Explain what a long-tailed distribution is and provide three examples of relevant phenomena that have long tails. Why are they important in classification and regression problems?
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Case study: How would you decide if product team should work on a particular feature or not? In this case, it’s Search:
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Case study: Walk me through how would you predict who will renew their subscription next month? What data would you need to solve this? What analysis would you do? Would you build predictive models? If so, which algorithms?
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How do you rate a model’s performance ? Depending on the context, this can lead to discussions about false positives/negatives, accuracy, recall, AUC, lift… How should one decide?
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