1. What is skewed Distribution & uniform distribution?
  2. When underfitting occurs in a static model?
  3. What is reinforcement learning?
  4. Name commonly used algorithms.
  5. What is precision?
  6. What is a univariate analysis?
  7. How do you overcome challenges to your findings?
  8. Explain cluster sampling technique in Data science
  9. State the difference between a Validation Set and a Test Set
  10. Explain the term Binomial Probability Formula?
  11. What is a recall?
  12. Discuss normal distribution
  13. While working on a data set, how can you select important variables? Explain
  14. Is it possible to capture the correlation between continuous and categorical variable?
  15. Discuss Artificial Neural Networks
  16. What is Back Propagation?
  17. What is a Random Forest?
  18. Explain Recommender Systems?
  19. Explain Collaborative filtering

TOP MNC DATA SCIENCE INTERVIEW QUESTIONS