Can you explain data cleansing?
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Define the term cross-validation
Explain systematic sampling?
Explain each data visualization in detail?
A test has a true positive rate of 100% and false positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?
Is macbook good for data science?
Define data discretization?
What are Type 1 and Type 2 errors ?
What is data science?
Which one you prefer R or Python for text analytics?
How will you prove that the square root of 2 is irrational?
What are decorators in Python?
Have you used sampling? What are the various types of sampling have you worked with?
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