Explain data preparation?
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Name three disadvantages of using a linear model?
Can you define feature vector?
What are the different performance metrics for evaluating Uber services?
You are given a training dataset of users that contain their demographic details, the pages on Facebook they have liked so far and results of psychology test based on their personality i.e. their openness to like FB pages or not. How will you predict the age, gender and other demographics of unseen data?
What is an api? What are apis used for?
You are about to get on a plane to Seattle, you want to know whether you have to bring an umbrella or not. You call three of your random friends and as each one of them if it's raining. The probability that your friend is telling the truth is 2/3 and the probability that they are playing a prank on you by lying is 1/3. If all 3 of them tell that it is raining, then what is the probability that it is actually raining in Seattle.
A test has a true positive rate of 100% and a false-positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?
What is a z test?
What do you understand by type I vs type ii error?
How and by what methods data visualizations can be effectively used?
what is prior probability and likelihood?
What is the difference between an analyst and a data scientist?
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