Why data science and data scientists are needed?
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How can you build and test a metric to compare ranked list of TV shows or Movies for two Netflix users?
What are eigenvectors and eigenvalues?
Is 8gb ram enough for data analysis?
How would churn help predict and control churn for a customer?
If we added one rider to the current SF market, how would that affect the existing riders and drivers?
How do data scientists code in r?
How will you compare the results of various machine learning algorithms?
Explain survivorship bias?
Can you define feature vector?
How would you add value to the company through your projects?
How do you understand by bias variance trade off?
How long should a pip last?
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