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What do you understand by the term data science?
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Can you explain data cleansing?
Python or R is better for data science?
How many sorting algorithms are available?
You are given 50 cards with five different colors- 10 Green cards, 10 Red Cards, 10 Orange Cards, 10 Blue cards, and 10 Yellow cards. The cards of each colors are numbered from one to ten. Two cards are picked at random. Find out the probability that the cards picked are not of same number and same color.
Please explain eigenvectors and eigenvalues?
What is the difference between kmeans clustering and hierarchical clustering?
What is meant by logistic regression?
What is churn? How would it help predict and control churn for a customer?
Explain calculate distance methods briefly?
How would you say data science is similar or different to business analytics and business intelligence?
Burn two ropes, one needs 60 minutes of time to burn and the other needs 30 minutes of time. How will you achieve this in 45 minutes of time ?
What do you understand by linear regression and logistic regression?
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