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?
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What is association analysis? Where is it used?
What are iterators in Python?
State the difference between the expected value and mean value?
What is the importance of data cleaning in analysis?
Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.
How can you compare a neural network that has one layer, one input and output to a logistic regression model?
What is meant by logistic regression?
Differentiate between supervised and unsupervised learning?
Which technique is used to predict categorical responses?
How will you fix multi-colinearity in a regression model?
What is the difference between an iterator, generator and list comprehension in Python?
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.
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