500 Data Science Interview Questions and Answers by Puligadda

500 Data Science Interview Questions and Answers

 PDF Free Download | 500 Data Science Interview Questions and Answers by Vamsee Puligadda

Questions of 500 Data Science Interview

  • Question 1. What Is A Recommender System?
  • Question 2. Compare Sas, R, And Python Programming?
  • Question 3. Explain The Various Benefits Of R Language?
  • Question 4. How Do Data Scientists Use Statistics?
  • Question 5. What Is Logistic Regression?
  • Question 6. Why Data Cleansing Is Important In Data Analysis?
  • Question 7. Describe Univariate, Bivariate And Multivariate Analysis.?
  • Question 8. How Machine Learning Is Deployed In Real World Scenarios?
  • Question 9. What Are The Various Aspects Of A Machine Learning Process?
  • Question 10. What Do You Understand By The Term Normal Distribution?
  • Question 11. What Is Linear Regression?
  • Question 12. What Are Interpolation And Extrapolation?
  • Question 13. What Is Power Analysis?
  • Question 14. What Are K-means? How Can You Select K For K-means?
  • Question 15. How Is Data Modeling Different From Database Design?
  • Question 16. What Are Feature Vectors?
  • Question 17. Explain The Steps In Making A Decision Tree.?
  • Question 18. What Is Root Cause Analysis?
  • Question 19. Explain Cross-validation.?
  • Question 20. What Is Collaborative Filtering?
  • Question 21. Do Gradient Descent Methods At All Times Converge To Similar Point?
  • Question 22. What Is The Goal Of A/b Testing?
  • Question 23. What Are The Drawbacks Of Linear Model?
  • Question 24. What Is The Law Of Large Numbers?
  • Question 25. What Are Confounding Variables?
  • Question 26. Explain Star Schema.?
  • Question 27. How Regularly An Algorithm Must Be Update?
  • Question 28. What Are Eigenvalue And Eigenvector?
  • Question 29. Why Is Resampling Done?
  • Question 30. Explain Selective Bias.?
  • …more questions in the book.
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