Explain the steps for a data analytics project
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Name commonly used algorithms.
What is a joke that people say about you and how would you rate the joke on a scale of 1 to 10?
What motivates you to transition from academia to data science?
How do data scientists code in r?
What is root Linear Regression analysis?
What is t test?
What is bias – variance tradeoff?
Have you used sampling? What are the various types of sampling have you worked with?
Why is Python used in data science?
How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.
How will you test that there is increased probability of a user to stay active after 6 months given that a user has more friends now?
What do you understand by Ordinary Least Squares Linear Regression?
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