Explain the difference between a test set and a validation set?
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How to understand the problems faced during data analysis?
why is data cleaning important for analysis?
Explain the importance of 80/20 rule in model validation?
What is association analysis? Where is it used?
What exactly does a data scientist do?
Name some kinds of graphs and explain how you would build them in python or r.
How can you assess a good logistic model?
Differentiate between skewed and uniform distribution?
Explain the difference between bayesian estimate and maximum likelihood estimation (mle)?
How can you reduce bias in a given data set?
What is the difference between supervised and unsupervised methods?
What is k-means? How can you select k for k-means?
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