1) Mostly on random forest (since it was my project) 2) how would you avoid overfitting 3) What would be your approach if the data is not trainable. 4) Metric 5) Why do you want to join Target
Senior Data Scientist Interview Questions
3,495 senior data scientist interview questions shared by candidates
Normal python questions and questions related to my projects.
bias vs variance tradeoff
Resume based
Why would you like to work for LEGO and why this role.
In depth about model performance metrics of supervised machine learning models.
Talk about one of your previous projects in MLOPS that went into production.
SQL and Python pandas database transformation. Walk through a classification problem and caveats (how would you measure performance and feature importance)
Can linear regression predict negative values if they were no negative values in the training data
Describe how a gradient boosting model worked
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