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Data Science Interview Questions
Questions Answers Views Company eMail

Can you define a/b testing?

310

What cross validation technique would you use on time series data set? Is it k-fold or loocv?

307

Can you explain interpolation and extrapolation?

327

Can you explain difference between data modeling and database design?

359

Explain while working on a data set, how do you select important variables?

343

Explain how can you assess a good logistic model?

323

Define cluster sampling?

330

Explain data munging?

384

Explain root cause analysis?

361

How is true positive rate and recall related?

289

Explain the differences between bivariate and multivariate analysis?

353

Explain interpolation and extrapolation?

324

Explain data wrangling?

343

Define a/b testing?

376

Explain unsupervised learning?

309


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Un-Answered Questions { Data Science }

Are expected value and mean value different?

431


Describe the various steps involved while carrying out an analytical project?

328


List the differences between supervised and unsupervised learning.

369


Discuss artificial neural networks

387


What is logistic regression in data science?

459


How is random forests different from decision trees?

432


What is association analysis?

321


Explain the difference between a test set and a validation set?

319


What is cart and chaid? How is bagging different from boosting?

317


Count the total number of trees in United States.

335


What are you employed pip?

344


What is the job description for a data scientist?

323


Why data cleaning plays a vital role in the analysis?

386


What do you mean by p-value?

320


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

339