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

Data Science Interview Questions

Questions Answers Views Company eMail

Discuss artificial neural networks

330

Is it possible to capture the correlation between continuous and categorical variable?

296

why do you need to perform resampling?

296

What is a random forest?

256

How to determine the number of clusters in k-means clustering algorithm?

261

Discuss linear regression?

285

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

295

Differentiate between supervised and unsupervised learning?

253

What do you understand by bias, variance trade-off?

277

Explain reinforcement learning.

248

What do you understand by l1 and l2 regularization methods?

273

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

281

What do you understand by clustering?

257

Differentiate between regression and classification algorithms?

286

Explain the decision tree algorithm?

330

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Un-Answered Questions { Data Science }

Please explain eigenvectors and eigenvalues?

260

What is a random forest?

256

How many dentists are there in US?

350

What is an outlier?

256

Explain box cox transformation?

346

Where linear optimization is used?

367

What skills do you need to be a data analyst?

302

What are the various steps involved in an analytics project?

273

You can roll a dice three times. You will be given $X where X is the highest roll you get. You can choose to stop rolling at any time (example, if you roll a 6 on the first roll, you can stop). What is your expected pay-out?

287

What do you understand by Poisson distribution?

282

What is meant by Poisson regression?

328

Why data science and data scientists are needed?

255

Is it possible to perform logistic regression with Microsoft Excel?

341

what is bias?

311

How can you decide if one algorithm is better than the other?

409

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