1. How would your previous employer describe you 2. your strength and weakness 3. if you have two project due at the same time, how would you handle them 4. explain supervised learning and unsupervised learning 5. explain overfitting 6. explain cross-validation 7. penalties in lasso regression 8. explain object-oriented programming 9. your project experience
It was mostly about projects, python
describe p value, type one type two errors
How would you handle missing vaues?
Explain what is random variable.
They asked me a case study about how I would evaluate the metrics of a model deployed in a healthcare setting. They also asked HR questions, like my salary expectations and other things like that.
Classical ML questions, probability and stats, basic understanding of business and forecasting.
How will you using 0 and 1s calculate 6!
testing related questions like what are the different kind of QA tests, different kind of errors that can happen etc.
Name a time you were challenged and how did you solve it?
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