How is random forests different from decision trees?
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What is interpolation and extrapolation?
What is a/b testing in data science?
How can you solve a problem that has no solution?
Explain about the box cox transformation in regression models?
Who can be scientific data there are three general steps to becoming a data scientist?
Python is enough for data science ?
What does sas stand out to be the best over other data analytics tools?
Can you cite some examples where a false negative important than a false positive?
Explain about the various time series forecasting technqiues.
What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.
Define feature vector?
What skills are required for data analytics roles?
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