What is the supervised learning?
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What is bias – variance tradeoff?
Discuss 'naive' in a naive bayes algorithm?
During analysis, how do you treat missing values?
What is the probability of pulling a different shape or a different colour card from a deck of 52 cards?
What makes the difference between “long” and “wide” format data?
Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.
How is a normal distribution different from chi square distribution?
Among python and r, which one is generally preferred for text analytics?
How do data management procedures like missing data handling make selection bias worse?
A building has 100 floors. Given 2 identical eggs, how can you use them to find the threshold floor? The egg will break from any particular floor above floor N, including floor N itself.
What do you understand by bias, variance trade-off?
What are limitations of DBSCAN?
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