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Data Science Interview Questions
Questions Answers Views Company eMail

What is the difference between supervised and unsupervised methods?

327

What is a z test, chi square test, f test and t test?

324

What packages are used for data mining in python and r?

310

What are the various classification algorithms?

313

What is data science? Also, list the differences between supervised and unsupervised learning.

286

A certain couple tells you that they have two children, at least one of which is a girl. What is the probability that they have two girls?

385

List the differences between supervised and unsupervised learning.

321

How does data cleaning plays a vital role in analysis?

364

What is back propagation and explain it’s working.

303

What is the role of activation function?

452

Explain the structure of artificial neural networks?

378

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

283

In any 15-minute interval, there is a 20% probability that you will see at least one shooting star. What is the proba­bility that you see at least one shooting star in the period of an hour?

441

How can you generate a random number between 1 – 7 with only a die?

547

What is the difference between “long” and “wide” format data?

296


Post New Data Science Questions

Un-Answered Questions { Data Science }

Can you define analytics?

315


Define power analysis?

289


What are Random Forests?

305


How would you create a taxonomy to identify key customer trends in unstructured data?

370


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

301


What is correlation in R?

352


Why is dimensional reduction performed before fitting a support vector machine (svm)?

335


How will you define the number of clusters in a clustering algorithm?

412


What are various steps involved in an analytics project?

290


Why data cleaning plays a vital role in analysis?

346


Do gradient descent methods always converge to the same point?

418


What is the goal of the clustering?

291


Define feature vector?

345


Which one you prefer R or Python for text analytics?

369


A test has a true positive rate of 100% and false positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?

516