- Tell me about your experience in ML and your resume. - How to deal with seasonality in a time series. - What is a decision tree. - What is bias vs variance and how to treat them. - What is price elasticity. - How to convince a senior executive that data science is important (duh! seriously, I got asked this question by the person who was looking at another screen and was not even listening!)
Experience on different agent framewoks
Can you tell the difference between list and tuple in python?
Why do you want to work/why are you qualified/etc. Very basic, standard, experience.
Q: I don't remember, pretty standard stuff.
Tell me about yourself.
I do not recall the questions, generic data science questions.
We discussed a number of things, e.g., some machine learning questions.
Pourquoi Payfit ? Connaissez-vous les modèles ensemblistes ?
Assignment questions, some questions on XGB, Basic Python Questions, and 2 SQl Questions(just logic).Questions about current projects at work
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