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Data Science Interview Questions
Questions Answers Views Company eMail

What do you understand by the term data science?

309

What do you understand by normal distribution?

443

Do you prefer python or r for text analytics?

280

Why is resampling done?

286

What is overfitting?

422

Where to seek help in case of discrepancies in tableau?

530

What are the feature vectors?

285

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

285

What is selection bias and why does it matter?

295

What are numpy, scipy, and spark essential datatypes?

353

why is data cleaning important for analysis?

321

Can you compare the validation set with the test set?

295

Can you explain the difference between a validation set and a test set?

269

Differentiate between data modeling and database design?

292

What is the best programming language to use in data science?

318


Post New Data Science Questions

Un-Answered Questions { Data Science }

What is machine learning and how can it be used for time series analysis?

263


What approach will you follow to develop the love,like, sad feature on Facebook?

342


How will you check if an element 25 is present in a vector?

384


On rolling a dice if you get $1 per dot on the upturned face,what are your expected earnings from rolling a dice?

248


Can you explain the difference between a Test Set and a Validation Set?

296


What is logistic regression? Or state an example when you have used logistic regression recently?

317


What do you mean by the term linear regression?

298


Why are generators used in Python?

357


How is bagging different from boosting?

313


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

278


Explain the importance of 80/20 rule in model validation?

306


Could you draw a comparison between overfitting and underfitting?

356


Define boltzmann machine

281


Can you explain interpolation and extrapolation?

286


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

273