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Data Science Interview Questions
Questions Answers Views Company eMail

What are the major skills data scientist need?

308

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?

294

Can you explain data cleansing?

327

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

339

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

349

Can you explain supervised learning?

314

How do you understand by bias variance trade off?

334

Can you explain data munging or data wrangling?

323

What is difference between sas, r and python programming?

380

Can you define feature vector?

314

What is data scientist?

357

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

305

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

322

Can you define data discretization?

270


Post New Data Science Questions

Un-Answered Questions { Data Science }

Which laptop is best for data analysis?

357


what is bias?

357


Do gradient descent methods always converge to same point?

344


What is meant by supervised and unsupervised learning in data?

321


What is the difference between an iterator, generator and list comprehension in Python?

359


Can you define convex hull?

362


How make you 3d plots/visualizations using numpy/scipy?

403


Implement a sorting algorithm for a numerical dataset in Python.

353


Define a/b testing?

377


What is selection bias?

339


What is meant by linear regression?

309


What is systematic sampling?

329


Can you explain cross-validation?

294


Explain the differences between univariate and multivariate analysis?

434


Given 2 vectors, how will you generate a sorted vector?

329