Why do you need a for loop?
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How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.
Differentiate between skewed and uniform distribution?
Explain the two main components of the hadoop framework?
Define a/b testing?
Among python and r, which one is generally preferred for text analytics?
Can you compare the validation set with the test set?
Are expected value and mean value different?
Given 2 vectors, how will you generate a sorted vector?
A jar has 1000 coins, of which 999 are fair and 1 is double headed. Pick a coin at random, and toss it 10 times. Given that you see 10 heads, what is the probability that the next toss of that coin is also a head?
What is an Eigenvalue and Eigenvector?
Can you cite some examples where a false positive is important than a false negative?
How and by what methods data visualizations can be effectively used?
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