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How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.
300How would you say data science is similar or different to business analytics and business intelligence?
275Post New Data Science Questions
What is cross-validation?
How can you produce co-relations and covariances?
Discuss normal distribution
Is macbook good for data science?
What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.
How would you do market basket analysis in r and python?
Explain the differences between univariate, bivariate and multivariate analysis?
What is the roc curve?
How can I achieve accuracy in the first model that I built?
How will you decide whether a customer will buy a product today or not given the income of the customer, location where the customer lives, profession and gender? Define a machine learning algorithm for this.
Are the expected value and mean value different?
What do you understand by type I vs type ii error?
Please explain gradient descent?
How can outlier values be treated?
How does data cleaning plays a vital role in analysis?
