IBM – Data Science Interview Questions

Here is the list Data Science Interview Questions which are recently asked in IBM company. These questions are included for both Freshers and Experienced professionals. Our Data Science Training has Answered all the below Questions.

  1. What do you mean by word Data Science?
  2. Explain the term botnet?
  3. What is Data Visualization?
  4. How you can define Data cleaning as a critical part of process?
  5. Differentiate between Data modelling and Database design?
  6. Differentiate between Data modelling and Database design?
  7. What are Recommender Systems?
  8. Why data cleaning plays a vital role in analysis?
  9. What is Linear Regression?
  10. What do you understand by term hash table collisions?
  11. What are various steps involved in an analytics project?
  12. How can you iterate over a list and also retrieve element indices at the same time?
  13. What is collaborative filtering?
  14. What is boosting?
  15. For tuning hyperparameters of your machine learning model, what will be the ideal seed?
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  16. Compare and contrast R and SAS?
  17. What do you understand by letter ‘R’?
  18. What is Interpolation and Extrapolation?
  19. What is the difference between Cluster and Systematic Sampling?
  20. Are expected value and mean value different?
  21. What does P-value signify about the statistical data?
  22. What is the goal of A/B Testing?
  23. What is an Eigenvalue and Eigenvector?
  24. How can you assess a good logistic model?
  25. What is Machine Learning?
  26. Why do you want to work as a data scientist?
  27. What is the Law of Large Numbers?
  28. Why is data cleaning essential in Data Science?
  29. What Is K-means? How Can You Select K For K-means?
  30. What is underfitting?
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TOP MNC's DATA SCIENCE INTERVIEW QUESTIONS & ANSWERS

Here we listed all Data Science Interview Questions and Answers which are asked in Top MNCs. Periodically we update this page with recently asked Questions, please do visit our page often and be updated in Data Science.

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