Around my previous experience basically my CV and ML related questions.
Sr Data Scientist Interview Questions
3,374 sr data scientist interview questions shared by candidates
bias vs variance tradeoff
scenario based questions for data processing
ML project - impact , algorithm and metrics used
What are disadvantages of MAPE
Round 2: Many questions and cross questions on your approach to the case study - why would you choose this data, what else could you do. Other what-if scenarios on this. In modelling, fundamental questions of how some model works - not superficial level answers but demanded thorough answers.
Normal around resume ml stuff doesn't seem anything different
Can linear regression predict negative values if they were no negative values in the training data
Describe how a gradient boosting model worked
Describe how a gradient boosting model worked
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