Can linear regression predict negative values if they were no negative values in the training data
Senior Data Scientist Interview Questions
3,367 senior data scientist interview questions shared by candidates
Describe how a gradient boosting model worked
Describe how a gradient boosting model worked
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?
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