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Data Science Interview Questions
Questions Answers Views Company eMail

What is meant by linear regression?

309

What do you understand by the selection bias?

317

What is machine learning? What is the difference between supervised and unsupervised methods?

333

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

341

What is logistic and linear regression?

349

How is bagging different from boosting?

374

What is an rdbms? Name some examples for rdbms? What is crud?

305

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

328

What is random forests?

348

How do you treat outlier data?

344

How would you say data science is similar or different to business analytics and business intelligence?

312

What is linear optimization?

322

How do you use sql in sas, python, r languages?

351

Name some packages in r and python for building regression models.

317

What is f test?

429


Post New Data Science Questions

Un-Answered Questions { Data Science }

What do you understand by term hash table collisions?

315


What is the supervised learning?

347


How will you test a machine learning model for accuracy?

319


Can you compare the validation set with the test set?

336


How can you measure engagement with given Twitter data?

409


How is data modeling different from database design?

313


Pycharm has a debugger?

481


Differentiate between regression and classification algorithms?

325


What is a recommender system?

372


What does sas stand out to be the best over other data analytics tools?

333


What are data science and analytic?

414


How will you impute missing information in a dataset?

347


Explain auto-encoder

330


Define a sql query? How do you use sql in sas, python, r languages?

394


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

328