How can I become a data scientist?
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How does data cleaning plays a vital role in the analysis?
Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.
Differentiate between regression and classification algorithms?
Python is enough for data science ?
What are the differences between overfitting and underfitting?
Explain the differences between univariate and bivariate analysis?
How do you treat colinearity?
You can roll a dice three times. You will be given $X where X is the highest roll you get. You can choose to stop rolling at any time (example, if you roll a 6 on the first roll, you can stop). What is your expected pay-out?
What is meant by selection bias?
Can you explain data cleansing?
What is the definition of the unit test?
Suppose that American Express has 1 million card members along with their transaction details. They also have 10,000 restaurants and 1000 food coupons. Suggest a method which can be used to pass the food coupons to users given that some users have already received the food coupons so far.
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