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?

307

What is the supervised learning?

287

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?

1422

Is 8gb ram enough for data analysis?

339

What is the best laptop for data science?

289

How much ram do I need for data science?

281

Which laptop is best for data analysis?

308

What laptop should I buy for data science?

308

Is macbook good for data science?

280

Can you explain unsupervised learning?

329

Can you explain eigenvalue and eigenvector?

301

Can you define power analysis?

287

How do you treat missing values during analysis?

282

Can you explain collaborative filtering?

392

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

283

Post New Data Science Questions

Un-Answered Questions { Data Science }

What is Survival Analysis?

310

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

280

What is an api?

312

What is the role of activation function?

443

Which method in pandas.tools.plotting is used to create scatter plot matrix?

381

Explain the role of activation function?

279

What is linear optimization?

276

What are the differences between data science, machine learning, and artificial intelligence?

281

Explain how to merge the files into a single dataframe?

321

What is a random forest?

256

Define feature vector?

333

How to check the frequency distribution of a categorical variable?

322

Describe the various steps involved while carrying out an analytical project?

286

Which is the best suitable language among python and r for text analytics?

295

What is the basic responsibility of a data scientist?

283

For More Un-Answered { Data Science } Questions Click Here