Data Science Interview Questions, Answers for Freshers and Experienced asked in various Company Job Interviews

Data Science Interview Questions

Questions Answers Views Company eMail

Define the term cross-validation

323

what the aim of conducting a/b testing?

335

What is the k-means clustering method?

381

Name various types of deep learning frameworks

443

State the difference between the expected value and mean value?

351

Explain auto-encoder

337

How do you overcome challenges to your findings?

364

Discuss normal distribution

396

Explain cluster sampling technique in data science

410

What is the importance of having a selection bias?

322

Explain the steps for a data analytics project

462

Treating a categorical variable as a continuous variable would result in a better predictive model?

334

Name three types of biases that can occur during sampling?

331

What is a recall?

385

Explain the method to collect and analyze data to use social media to predict the weather condition?

551

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Un-Answered Questions { Data Science }

Explain how to merge the files into a single dataframe?

365

Define convex hull?

326

Explain the role of activation function?

327

How can you solve a problem that has no solution?

325

What do you understand by l1 and l2 regularization methods?

326

What makes scientific data?

361

What is an api? What are apis used for?

337

Can you cite some examples where a false negative important than a false positive?

367

What assumptions does linear regression machine learning algorithm make?

364

Explain p-value?

389

Can you explain systematic sampling?

347

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

352

Pycharm has a debugger?

487

How will you test that there is increased probability of a user to stay active after 6 months given that a user has more friends now?

533

What is the common perception of visualization?

298

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