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Data Science Interview Questions

1. Naive bayes assumptions
2. What are the approaches for solving class imbalance problem?
3. When sampling what types of biases can be inflected? How to control the biases?
4. GRU is faster compared to LSTM. Why?
5. What is difference between K-NN and K-Means clustering ?
6. How to determine if a coin is biased ? Hint: Hypothesis testing
7. How will u present the statistical inference of a particular numerical column?
8. How would you design a data science pipeline ?
9. Explain back propagation in few words and it’s variants?
10. Explain topic modeling in NLP and various methods in performing topic modeling.Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

Date: 12/06/21
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