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

282

what the aim of conducting a/b testing?

294

What is the k-means clustering method?

332

Name various types of deep learning frameworks

374

State the difference between the expected value and mean value?

308

Explain auto-encoder

281

How do you overcome challenges to your findings?

334

Discuss normal distribution

349

Explain cluster sampling technique in data science

371

What is the importance of having a selection bias?

280

Explain the steps for a data analytics project

393

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

303

Name three types of biases that can occur during sampling?

303

What is a recall?

313

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

500

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Un-Answered Questions { Data Science }

Is it possible to perform logistic regression with Microsoft Excel?

351

What is the central limit theorem and why is it important?

292

Given 2 vectors, how will you generate a sorted vector?

303

How will you deal with unbalanced data where the ratio of negative and positive is huge?

298

What is the common perception of visualization?

253

Pycharm has a debugger?

422

How would you say data science is similar or different to business analytics and business intelligence?

274

How is data science different from data analytics?

314

Can you explain recommender system?

293

What is an api?

320

Define naive bayes?

278

How have you overcome a barrier to finding a solution?

262

What is the 80/20 rule? Explain its importance in model validation?

281

What is the importance of selection bias?

308

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

304

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