What is churn? How would it help predict and control churn for a customer?
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How do data scientists code in r?
Give an example of a data set that has a non-gaussian distribution?
Pick up a coin C1 given C1+C2 with probability of trials p (h1) =.7, p (h2) =.6 and doing 10 trials. And what is the probability that the given coin you picked is C1 given you have 7 heads and 3 tails?
What is a linear regression?
What is churn?
what is bias?
How to work towards a random forest?
What are feature vectors?
What is the law of large numbers?
Define power analysis?
What do you do as a data scientist?
Explain the difference between an analyst and a data scientist?
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