Explain the decision tree algorithm?
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You have 2 dices. What is the probability of getting at least one 4? Also find out the probability of getting at least one 4 if you have n dices.
Give a large dataset, find the median.
What are recommender systems?
Explain data preparation?
Define an algorithm to discover when a person is starting to search for new job.
For linear regression, what are some of the assumptions a data scientist is most likely to make?
Can you cite some examples where a false positive is important than a false negative?
What is the aim of a/b testing?
What are various steps involved in an analytics project?
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How has your prior experience prepared you for a role in data science?
A test has a true positive rate of 100% and false positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?
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