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What is the difference between bayesian estimate and maximum likelihood estimation (mle)?
Why is it mandatory to clean a data set?
What tools or devices help you succeed in your role as a data scientist?
A test has a true positive rate of 100% and a 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 is meant by supervised and unsupervised learning in data?
Why do you want to work at this company as a data scientist?
What are outlier values?
How to work towards a random forest?
What devices or tools help you most as a data scientist?
Explain the goal of a/b testing?
What are the various types of selection bias?
Please explain the goal of a/b testing.
Do gradient descent methods always converge to the same point?
Explain how to define the number of clusters in a clustering algorithm?
What is meant by sampling? Explain some sampling methods that you know?
