What is the goal of the clustering?
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Does the data scientist need to know programming?
What is the difference between “long” and “wide” format data?
How do you work towards a random forest?
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?
List the variants of backpropagation?
Can you explain cross-validation?
What approach will you follow to develop the love,like, sad feature on Facebook?
What data structures are available in the Pandas package in Python programming language?
Can you provide examples for other computations in spark?
In a given day, how many birthday posts occur on Facebook?
Explain the difference between overfitting and underfitting?
Explain about the box cox transformation in regression models?
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