How to determine the number of clusters in k-means clustering algorithm?
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Explain difference between binomial and Poisson distribution?
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.
You can roll a dice three times. You will be given $X where X is the highest roll you get. You can choose to stop rolling at any time (example, if you roll a 6 on the first roll, you can stop). What is your expected pay-out?
How is true positive rate and recall related?
What is the difference between supervised and unsupervised methods?
How would you say data science is similar or different to business analytics and business intelligence?
Treating a categorical variable as a continuous variable would result in a better predictive model?
What do you mean by survival analysis in R?
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What do you understand by clustering?
Please explain the role of data cleaning in data analysis.
Give an example of a data set that has a non-gaussian distribution?
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