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How is data science different from data analytics?
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How do data scientists use statistics?
Give an example of a data set that has a non-gaussian distribution?
Can you provide an example of features extraction?
What is an outlier? How do you treat outlier data?
If you had to choose between the programming languages r and python, which one would you use for text analytics?
You are given two tables- friend_request and request_accepted. Friend_request contains requester_id, time and sent_to_id and request_accepted table contains time, acceptor_id and requestor_id. How will you determine the overall acceptance rate of requests?
Explain collaborative filtering
Which technique will you use to compare the performance of two back-end engines that generate automatic friend recommendations on Facebook?
Which one you prefer R or Python for text analytics?
What is t test?
Explain eigenvalue and eigenvector
Name the packages that are based on density based on the algorithm?
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