why do you need to perform resampling?
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How can you reduce bias in a given data set?
Explain about string parsing in R language
Can you explain root cause analysis?
What are the variants of back propagation?
Explain the differences between bivariate and multivariate analysis?
Name Methods to Calculate Distance Measure?
How do data scientists code in r?
What is the goal of A/B Testing?
Define naive bayes?
Suppose that American Express has 1 million card members along with their transaction details. They also have 10,000 restaurants and 1000 food coupons. Suggest a method which can be used to pass the food coupons to users given that some users have already received the food coupons so far.
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?
What makes the difference between “long” and “wide” format data?
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