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 are the different deep learning frameworks?

355

What is the supervised learning?

348

A jar has 1000 coins, of which 999 are fair and 1 is double headed. Pick a coin at random, and toss it 10 times. Given that you see 10 heads, what is the probability that the next toss of that coin is also a head?

1474

Is 8gb ram enough for data analysis?

406

What is the best laptop for data science?

322

How much ram do I need for data science?

326

Which laptop is best for data analysis?

357

What laptop should I buy for data science?

343

Is macbook good for data science?

336

Can you explain unsupervised learning?

383

Can you explain eigenvalue and eigenvector?

348

Can you define power analysis?

337

How do you treat missing values during analysis?

329

Can you explain collaborative filtering?

457

Which one would you prefer for text analytics python or r?

315

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Un-Answered Questions { Data Science }

What are outlier values and how do you treat them?

392

What is the k-means clustering method?

376

What is a recall?

381

what is the difference between extrapolation and interpolation?

357

What is the importance of data cleaning in analysis?

319

What is the best laptop for data science?

322

What is the difference between Linkedin and Array

425

Explain the difference between bayesian estimate and maximum likelihood estimation (mle)?

333

Define power analysis?

339

Differentiate between data modeling and database design?

329

What is the advantage of performing dimensionality reduction before fitting an svm?

305

How does data cleaning plays a vital role in the analysis?

406

What is meant by supervised and unsupervised learning in data?

321

what is bias?

357

Can you define power analysis?

337

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