Describe how a gradient boosting model worked
Data Scientist Senior Interview Questions
3,367 data scientist senior interview questions shared by candidates
Oversampling and under sampling difference
2- deep learning, cnn, rnn and regular ML questions, regularization, SVM, bias variance trade off, batch normalization, PCA, PLS
How do you calculate precision and recall
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Tech round and mainly questions were asked on multicollinearity, RF and XGboost differences, EDA. Next round consisted of senerio based ML problems.
Can you elaborate on projects that you have done?
How did you do feature selection?
How do you handle multicollinearity?
Explain the process of RFM analysis? How would you provide personalized ads?
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