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What do you mean by word data science?
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What is the probability of pulling a different shape or a different colour card from a deck of 52 cards?
What are the various types of selection bias?
Suppose that American Express has 1 million card members along with their transaction details. They also have 10,000 restaurants and 1000 food coupons. Suggest a method which can be used to pass the food coupons to users given that some users have already received the food coupons so far.
What is the purpose of a/b testing?
What do you understand by l1 and l2 regularization methods?
Explain the steps for a data analytics project
Burn two ropes, one needs 60 minutes of time to burn and the other needs 30 minutes of time. How will you achieve this in 45 minutes of time ?
What will be your expected earnings with the two roll strategy?
Can you cite some examples where a false negative important than a false positive?
What is cluster sampling in data science?
Can you explain supervised learning?
What are requirements for clustering?
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