Explain how to define the number of clusters in a clustering algorithm?
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How will you deal with unbalanced data where the ratio of negative and positive is huge?
Explain the differences between univariate and bivariate analysis?
What prior knowledge is required to become data scientist?
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?
How will you design a recommendation engine for jobs?
When underfitting occurs in a static model?
Differentiate between data modeling and database design?
What does _init_.py do?
What is market basket analysis? How would you do it in r and python?
Name three types of biases that can occur during sampling?
What are Type 1 and Type 2 errors ?
What makes the difference between “long” and “wide” format data?
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