Can you cite some examples where a false positive is important than a false negative?
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Can you use machine learning for time series analysis?
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?
Have you used sampling? What are the various types of sampling have you worked with?
What functions are required to principal analysis in R?
How decision tree algorithm is different from the random forest algorithm?
You have been given the data on Facebook user's friending or defriending each other. How will you determine whether a given pair of Facebook users are friends or not?
What do you understand by parametric and non-parametric methods? Explain with examples.
What do you understand by the job description of data scientist?
What are the differences between overfitting and underfitting?
You have two sorted array of integers, write a program to find a number from each array such that the sum of the two numbers is closest to an integer i.
What is data science with example?
A test has a true positive rate of 100% and a 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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