Amazon Data Scientist Interview Questions

– What is over-fitting? How do you avoid it?
– What types of regularization do we have? Which one is simpler to use? L1 or L2?
– Explain decision trees? What are the different metrics to classify dataset?
– What is bagging?
– We have two models, one with 85% accuracy, one 82%. Which one do you pick?
– What is p-value and how can we use it?

– SVM, how to choose a model, and how to determine if a model is better than another.  

what is linear regression?