Explain data preparation?
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What is f test?
Describe some assumptions considered important for linear regression?
What is linear optimization? Where is it used?
What is the common perception of visualization?
Explain why data cleansing is essential and which method you use to maintain clean data?
Discuss decision tree algorithm?
Which methods are defined for a class of iterators?
How do you treat missing values during analysis?
Is it possible to capture the correlation between continuous and categorical variable?
How many people are using Facebook in California at 1.30 PM on Monday?
What is a/b testing in data science?
How is bagging different from boosting?
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