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Data Science Interview Questions
Questions Answers Views Company eMail

What are the major skills data scientist need?

309

In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?

424

Can you explain cross-validation?

300

Can you explain data cleansing?

332

What is the difference between an analyst and a data scientist?

345

What do you understand by type I vs type ii error?

353

Can you explain supervised learning?

329

How do you understand by bias variance trade off?

335

Can you explain data munging or data wrangling?

327

What is difference between sas, r and python programming?

385

Can you define feature vector?

321

What is data scientist?

362

What is the advantage of performing dimensionality reduction before fitting an svm?

309

How is true positive rate and recall related? Write the equation.

324

Can you define data discretization?

275


Post New Data Science Questions

Un-Answered Questions { Data Science }

Define the term deep learning?

346


What do you understand by the job description of data scientist?

339


What is a z test, chi square test, f test and t test?

358


What do you understand by the selection bias? What are its various types?

333


What is cart and chaid?

331


What is the definition of the unit test?

351


Discuss linear regression?

332


Can you explain data cleansing?

332


How can you check if a data set or time series is random?

357


What are Random Forests?

356


How will you cut a circular cake into 8 equal pieces?

311


What are outlier values?

421


A test has a true positive rate of 100% and false positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?

564


What is k-means?

343


Different between overfitting and underfitting?

434