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Data Science Interview Questions
Questions Answers Views Company eMail

What is market basket analysis?

376

What is the central limit theorem?

370

What is linear optimization? Where is it used?

339

What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.

311

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

319

How is a normal distribution different from chi square distribution?

347

What is an outlier?

299

What is nosql? Name some examples of nosql databases. What is a key value store? What is column storage? What is a document database?

297

What is cart and chaid?

328

Define a sql query?

344

How would you do market basket analysis in r and python?

366

What are apis used for?

395

Which package is used to do data import in r and python?

334

What is the central limit theorem? How is a normal distribution different from chi square distribution?

351

What is missing value imputation? How do you handle missing values in python or r?

353


Post New Data Science Questions

Un-Answered Questions { Data Science }

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

304


What is a z test?

368


How will you prove that the square root of 2 is irrational?

313


Explain the difference between data modeling and database design?

327


How to work towards a random forest?

432


How are confidence intervals constructed and how will you interpret them?

311


Name some kinds of graphs and explain how you would build them in python or r.

314


List the differences between supervised and unsupervised learning.

371


What is a recall?

381


What is systematic sampling?

329


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

330


Discuss 'naive' in a naive bayes algorithm?

352


What is an api? What are apis used for?

335


What is supervised learning?

306


Now companies are heavily investing their money and time to make the dashboards. Why?

315