How will you overcome overfitting in predictive models?
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Name some packages in r and python for building regression models.
Explain principal components analysis with equations.
How would you say data science is similar or different to business analytics and business intelligence?
What is meant by logistic regression?
How can you generate a random number between 1 – 7 with only a die?
Can you explain the difference between a Test Set and a Validation Set?
During analysis, how do you treat missing values?
What is root Linear Regression analysis?
What is the travelling salesman problem?
What is jupyter ?
How and by what methods data visualizations can be effectively used?
Explain data munging?
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