How much ram do I need for data science?
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What do you understand by the selection bias?
Why is it mandatory to clean a data set?
Define naive bayes?
Can you define data discretization?
What do you understand by the selection bias? What are its various types?
Explain the difference between bayesian estimate and maximum likelihood estimation (mle)?
Please explain eigenvectors and eigenvalues?
Which methods are defined for a class of iterators?
What is f test?
Can you provide examples for other computations in spark?
How will you deal with unbalanced data where the ratio of negative and positive is huge?
What is the difference between “long” and “wide” format data?