Explain the difference between data modeling and database design?
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How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.
Which methods are defined for a class of iterators?
How is data science different from data analytics?
Which objects are iterated in python?
What do you mean by p-value?
What is an Eigenvalue and Eigenvector?
Which technique will you use to compare the performance of two back-end engines that generate automatic friend recommendations on Facebook?
What assumptions does linear regression machine learning algorithm make?
Define standard deviation, mean, mode and median.
Can you cite some examples where a false negative important than a false positive?
Do gradient descent methods always converge to same point?
How can you check if a data set or time series is random?
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