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Data Science Interview Questions
Questions Answers Views Company eMail

What are the applications of data science?

372

What is the difference between data science, machine learning and artificial intelligence?

316

Can you define cluster sampling?

386

Can you explain systematic sampling?

330

Can you define linear regression?

311

Can you define analytics?

341

What is the differences between univariate, bivariate and multivariate analysis?

357

Can you explain root cause analysis?

304

Can you write the formula to calculate r-square?

326

Can you explain k-mean?

391

Why is data munging useful?

301

Can you define data reduction?

284

Can you define convex hull?

351

Can you explain recommender system?

327

Can you explain data preparation?

343


Post New Data Science Questions

Un-Answered Questions { Data Science }

What is the procedure to check the cumulative frequency distribution of any categorical variable?

398


What are recommender systems?

339


When do you need to update the algorithm in data science?

323


How do you build a custom function in python or r?

336


What are the types of business decisions?

333


What is logistic and linear regression? Name some packages in r and python for building regression models.

330


How do you treat outlier data?

339


What is a z test?

358


What is meant by Random Forest Classifier?

300


What is an Eigenvalue and Eigenvector?

337


You are given two tables- friend_request and request_accepted. Friend_request contains requester_id, time and sent_to_id and request_accepted table contains time, acceptor_id and requestor_id. How will you determine the overall acceptance rate of requests?

342


How is bagging different from boosting?

369


Explain the differences between bivariate and multivariate analysis?

338


What is the goal of the clustering?

325


Could you draw a comparison between overfitting and underfitting?

397