What is data science?
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Why L1 regularizations causes parameter sparsity whereas L2 regularization does not?
Can you define cluster sampling?
How will you design a recommendation engine for jobs?
What is the jupyter center ?
What are the differences between overfitting and underfitting?
What is meant by feature vectors?
Explain data munging or data wrangling?
What is the basic responsibility of a data scientist?
What is an api? What are apis used for?
Which package is used to do data import in r and python?
What is machine learning? What is the difference between supervised and unsupervised methods?
What do you understand by l1 and l2 regularization methods?
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