Can you explain eigenvalue and eigenvector?
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What is meant by feature vectors?
Describe the various steps involved while carrying out an analytical project?
What do you understand by ensemble learning?
Differentiate between univariate, bivariate and multivariate analysis?
What is a linear regression in data science?
What is the 80/20 rule? Explain its importance in model validation?
You are at a Casino. You have two dices to play with. You win $10 every time you roll a 5. If you play till you win and then stop, what is the expected pay-out?
Explain auto-encoder
Which companies participating in Insight would you be interested in working for?
Do gradient descent methods always converge to same point?
What is advantage of using apply family of functions in r?
What are the principal components?
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