Can you explain supervised learning?
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What is an outlier? How do you treat outlier data?
Can you enumerate the various differences between supervised and unsupervised learning?
How do you build a custom function in python or r?
What are the different deep learning frameworks?
Can you cite some examples where both false positive and false negatives are equally important?
How different is a mean value different from expected value?
Estimate the number of square feet pizza's eaten in US each year.
What do you mean by graphics devices in data visualization?
What is data science with example?
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 is a C ++ iterator?
Explain data cleansing?
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