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Which database is best for data science?
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Could you explain how to define the number of clusters in a clustering algorithm?
What do you mean by cluster sampling and systematic sampling?
Why do we need generators in Python?
How will you compare the results of various machine learning algorithms?
How do you build a custom function in python or r?
What does _init_.py do?
Why is Python used in data science?
Does the data scientist need to know programming?
What is the purpose of a/b testing?
Can you cite some examples where a false positive is important than a false negative?
Explain collaborative filtering
You are at a Casino. You have two dices to play with. You win $10 every time you roll a 5. If you play till you win and then stop, what is the expected pay-out?
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