Q: Describe the k-NN clustering algorithm
Sr Data Scientist Interview Questions
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1) How to predict churn? Classic answer: Classification problem. Expected answer: As a survival function. 2) How do you imagine we use Reinforcement learning? Classic answer: For an AI. Expected answer: for Marketing.
Time series analysis on China PM2.5 dataset.
Can you tell more in detail about your projects listed on the resume?
I was asked to describe the "bag of tricks" method in machine learning with its pluses and minuses for a given specific context. It was a good question but of course I could have asked much tougher as a data scientist.
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