What is a/b testing in data science?
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What is the probability of pulling a different shape or a different colour card from a deck of 52 cards?
Can you define cluster sampling?
What do you understand by normal distribution?
Can you explain unsupervised learning?
How will you design the heatmap for Uber drivers to provide recommendation on where to wait for passengers? How would you approach this?
How can you reduce bias in a given data set?
What is the correlation in r?
What do you mean by word data science?
What is need of principal component analysis?
What is the difference between an analyst and a data scientist?
What are the differences between data science, machine learning, and artificial intelligence?
What are apis used for?
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