State the difference between the expected value and mean value?
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Explain how can you assess a good logistic model?
What is the importance of having a selection bias?
Can you explain cross-validation?
Why L1 regularizations causes parameter sparsity whereas L2 regularization does not?
Differentiate between type I and type ii error?
Why is it mandatory to clean a data set?
Can you explain unsupervised learning?
What is data science? How would you say it is similar or different to business analytics and business intelligence?
What are Principal components?
what is prior probability and likelihood?
Can you explain root cause analysis?
What do you mean by p-value?
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