Describe the various steps involved while carrying out an analytical project?
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What is meant by Poisson regression?
Can you provide examples for other computations in spark?
Why L1 regularizations causes parameter sparsity whereas L2 regularization does not?
Are expected value and mean value different?
What do you mean by p-value?
What is a recommender system?
Why is resampling done?
Where linear optimization is used?
What are the time series algorithms?
How will you handle missing data ?
How will you impute missing information in a dataset?
What is the 80/20 rule?