How would you say data science is similar or different to business analytics and business intelligence?
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List out the libraries in python used for data analysis and scientific computations?
What do you understand by parametric and non-parametric methods? Explain with examples.
What is difference between sas, r and python programming?
Explain about string parsing in R language
What is underfitting?
What is the difference between a bagged model and a boosted model?
What do you understand by linear regression and logistic regression?
How long should a pip last?
Can you provide examples for other computations in spark?
What jupyter used?
Explain box cox transformation?
What are disadvantages of bootstrap development?
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