Explain how to define the number of clusters in a clustering algorithm?
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What is underfitting?
Are the expected value and mean value different?
What do you do as a data scientist?
Write the code to sort an array in numpy by the nth column?
Why is DBSCAN required?
Case Study based questions - Cars are implanted with speed tracker so that the insurance companies can track about our driving state. Based on this new scheme what kind of business questions can be answered?
What is logistic and linear regression?
Could you draw a comparison between overfitting and underfitting?
How can you compute an inverse matrix faster by playing with some computation tricks?
What are applications of ggplot2?
Pick up a coin C1 given C1+C2 with probability of trials p (h1) =.7, p (h2) =.6 and doing 10 trials. And what is the probability that the given coin you picked is C1 given you have 7 heads and 3 tails?
What do you understand by confusion matrix?
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