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

Data Science Interview Questions

Questions Answers Views Company eMail

what is bias?

357

When underfitting occurs in a static model?

396

What is normal distribution

339

Which language is best for text analytics? R or python?

315

What is logistic regression in data science?

459

Name three disadvantages of using a linear model?

391

Explain p-value?

367

What is reinforcement learning?

338

Explain the term binomial probability formula?

323

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

333

Discuss 'naive' in a naive bayes algorithm?

352

Explain collaborative filtering

401

Define the term deep learning?

335

Explain the difference between data science and data analytics?

362

Explain the benefits of using statistics by data scientists

352

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Un-Answered Questions { Data Science }

Could you explain how to define the number of clusters in a clustering algorithm?

327

How do you work towards a random forest?

321

A disc is spinning on a spindle and you don't know the direction in which way the disc is spinning. You are provided with a set of pins.How will you use the pins to describe in which way the disc is spinning?

443

What jupyter used?

309

You are at a Casino. You have two dices to play with. You win $10 every time you roll a 5. If you play till you win and then stop, what is the expected pay-out?

368

How will you decide which version (Version 1 or Version 2) of the Surge Pricing Algorithms is working better for Uber ?

374

What is an api? What are apis used for?

335

Explain survivorship bias?

448

Explain box cox transformation?

391

Explain the difference between an analyst and a data scientist?

313

Can you explain data munging or data wrangling?

322

Define feature vector?

372

Who can be scientific data there are three general steps to becoming a data scientist?

337

What is a generating function?

360

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

329

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