Is 8gb ram enough for data analysis?
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What is the 80/20 rule?
What do you understand by l1 and l2 regularization methods?
Differentiate between supervised and unsupervised learning?
When do you need to update the algorithm in data science?
How do you define data science?
What are disadvantages of bootstrap development?
What is advantage of using apply family of functions in r? How do you use lambda in python?
How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.
Are expected value and mean value different?
What is the importance of having a selection bias?
What do you understand by statistical power of sensitivity and how do you calculate it?
What is column storage? What is a document database?
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