1) Measures of central tendency
2) What is the requirement of k means algorithm
3) Which clustering technique uses combining of clusters
4) Which is the oldest probability distribution
5) What all values does a random variable can take
6) Types of random variables
7) Normality of residuals
8) Probability questions
9) Sensitivity and specificity etc.
10) Explain bias – variance trade off. How does this affect the model? 
11) What is multi collinearity? How to identify and remove it.

Date: 30/06/21
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