Why do you want to work as a data scientist?
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If we added one rider to the current SF market, how would that affect the existing riders and drivers?
How will you impute missing information in a dataset?
What is t test?
Explain how to merge data frames in R?
What is chi square test?
How do you take millions of users with 100's of transactions each, amongst 10000's of products and group the users together in a meaningful segments?
Can you cite some examples where both false positive and false negatives are equally important?
What is churn? How would it help predict and control churn for a customer?
Differentiate between supervised and unsupervised learning?
while working on a data set, how can you select important variables? Explain
What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression?
Explain the structure of artificial neural networks?
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