How will you test that there is increased probability of a user to stay active after 6 months given that a user has more friends now?
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Please explain the goal of a/b testing.
Explain survivorship bias?
Explain data munging or data wrangling?
How have you overcome a barrier to finding a solution?
Explain each data visualization in detail?
Which is the standard data missing marker used in pandas?
Where linear optimization is used?
State the difference between a validation set and a test set?
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Define boltzmann machine
Can you compare the validation set with the test set?
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