When do you need to update the algorithm in data science?
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What is root Linear Regression analysis?
What is back propagation and explain it’s working.
Explain the difference between data science and data analytics?
Can you cite some examples where both false positive and false negatives are equally important?
Explain how to write a table to a file?
What is the difference between iterator and generator in Python?
Explain the goal of a/b testing?
What is market basket analysis?
Explain the difference between overfitting and underfitting?
What motivates you to transition from academia to data science?
Can you explain cross-validation?
What is bias – variance tradeoff?
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