How do you treat multicollinearity and heteroscedasticity in regression?
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Print the elements of a matrix in zig-zag manner.
What is the k-means clustering method?
Have you used sampling? What are the various types of sampling have you worked with?
How will you drop variables using indices in a data frame?
Describe some assumptions considered important for linear regression?
Which database is best for data science?
How will you define the number of clusters in a clustering algorithm?
What is an example of a data set with a non-gaussian distribution?
What are applications of ggplot2?
What do you understand by ensemble learning?
What is the supervised learning?
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