Imagine you are training a machine learning model with a given dataset. What would you do first.
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Without going into detail, they wanted both Python code for transforming raw data into data in some form from which one could make predictions, as well as a written description of what was done, why, and the modeling approach one would take.
what is computer in layman terms
Asked if a friend admitted to me that they had an addiction problem and was stealing medication from their place of employment, how would I react.
Tell me about your past job
(The only numerical question requiring Excel/Calculator) Finally, gave me a probability based, expected default rate question. The exact question was that the company has to calculate the expected default rate given the minimum return they look for is 15% over lease value. The given lease value was $1000, and the scaling factor (lease cost) was 60% of lease value. Another cost, the cost of service that the company bears is $50, which is taken from customer while making the deal. Now, to simplify there were only 2 possible outcomes mentioned which is full payment over 12 months or default before the payments start.
Onsite was mostly focused on behavior questions. They have "values" like Amazon LPs and ask behavior questions to see if you can show their values. Technical questions were relatively easy compared to other places.
What are your projects and explain them?
Values/team values/personal goals
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