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.

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Explain survivorship bias?

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Explain data munging or data wrangling?

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How have you overcome a barrier to finding a solution?

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Explain each data visualization in detail?

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Which is the standard data missing marker used in pandas?

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Where linear optimization is used?

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State the difference between a validation set and a test set?

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What is root Linear Regression analysis?

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How can you iterate over a list and also retrieve element indices at the same time?

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Can you compare the validation set with the test set?

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