Which part of our product you dislike most? Then can you think of the reasons why we decided to make it that way? And how would you quantify its badness (goodness)? How would you fix it? And why it will fix it?
Sr Data Scientist Interview Questions
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Data Science Questions based on the case study you present
Difference between boosting and bagging?
How to tackle a long term forecasting with ML approach? (direct, recursive, hybrid...timeframe training like weekly or daily basis)
How would you improve the way of working of different teams which team would you like to join and why
Walk through projects and explain
Explain an ML project you did
describe random forest algorithm
Differenza tra bagging e boosting.
Difference between bagging and boosting, explain model finetuning...
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