Can you explain root cause analysis?
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What is the correlation in r?
What is linear optimization? Where is it used?
What is the difference between supervised and unsupervised methods?
A box has 12 red cards and 12 black cards. Another box has 24 red cards and 24 black cards. You want to draw two cards at random from one of the two boxes, which box has a higher probability of getting cards of same colour and why?
What is linear optimization?
How will you prove that the square root of 2 is irrational?
Do you have some knowledge of R - analyse a given dataset in R?
How has your prior experience prepared you for a role in data science?
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?
Can you explain recommender system?
Give a large dataset, find the median.
What is missing value imputation? How do you handle missing values in python or r?