Larsen and Toubro – Data Science Interview Questions

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

  1. Can you enumerate the various differences between Supervised and Unsupervised Learning?
  2. What do you understand by the Selection Bias? What are its various types?
  3. Please explain the goal of A/B Testing.
  4. How will you calculate the Sensitivity of machine learning models?
  5. Could you draw a comparison between overfitting and underfitting?
  6. Between Python and R, which one would you pick for text analytics and why?
  7. Please explain the role of data cleaning in data analysis.
  8. What do you mean by cluster sampling and systematic sampling?
  9. What is A/B testing in Data Science?
  10. What are the differences between overfitting and underfitting?
  11. What is underfitting?
  12. Why data cleaning plays a vital role in the analysis?
  13. What are the types of machine learning?
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  14. Please explain Eigenvectors and Eigenvalues.
  15. Can you compare the validation set with the test set?
  16. What do you understand by linear regression and logistic regression?
  17. Please explain Recommender Systems along with an application.
  18. Could you explain how to define the number of clusters in a clustering algorithm?
  19. What do you understand by Deep Learning?
  20. How does Backpropagation work? Also, it state its various variants.
  21. What do you know about Autoencoders?
  22. What are the types of machine learning?
  23. What do you mean by Deep Learning and Why has it become popular now?
  24. How regularly must an algorithm be updated?
  25. What Is Power Analysis?
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TOP MNC's DATA SCIENCE INTERVIEW QUESTIONS & ANSWERS

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