Does the data scientist need to know programming?
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Can you explain collaborative filtering?
What is market basket analysis?
How can outlier values be treated?
How do you take millions of users with 100's of transactions each, amongst 10000's of products and group the users together in a meaningful segments?
Do you need a teacher to be a scientist?
How do you handle missing values in python or r?
Is jupyter open source?
Explain how to merge the files into a single dataframe?
Can you define data discretization?
Why is DBSCAN required?
Can you provide examples for other computations in spark?
Explain calculate distance methods briefly?
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