What are big data and data science?
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Explain the difference between univariate, bivariate and multivariate analysis?
A box has 12 red cards and 12 black cards. Another box has 24 red cards and 24 black cards. You want to draw two cards at random from one of the two boxes, which box has a higher probability of getting cards of same colour and why?
How do you treat outlier data?
Explain reinforcement learning.
What is the difference between bayesian estimate and maximum likelihood estimation (mle)?
What are Type 1 and Type 2 errors ?
What are the types of biases that can occur during sampling?
What is meant by R statistics?
How will you impute missing information in a dataset?
What are the metrics you will use to track if Uber's paid advertising strategies to acquire customers work? How will you figure out the acceptable cost of customer acquisition?
What are interpolation and extrapolation?
What is the difference between an analyst and a data scientist?
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