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

Data Science Interview Questions

Questions Answers Views Company eMail

How can I achieve accuracy in the first model that I built?

262

What do you mean by word data science?

366

What are the differences between overfitting and underfitting?

377

What is bias – variance tradeoff?

270

What is cluster sampling?

383

Explain the difference between overfitting and underfitting?

338

What is k-means?

315

Define some key performance indicators for the product

267

What is k-means? How can you select k for k-means?

304

What do you understand by term hash table collisions?

277

What are the variants of back propagation?

316

How has your prior experience prepared you for a role in data science?

275

What is systematic sampling?

296

How to understand the problems faced during data analysis?

292

How is data modeling different from database design?

281

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Un-Answered Questions { Data Science }

What does sas stand out to be the best over other data analytics tools?

291

What do you understand by decision tree?

408

Can you use a generator to create iterators?

361

What do you know about autoencoders?

318

What is reinforcement learning?

287

Explain principal components analysis with equations.

316

What is missing value imputation?

313

What is term Pearson’s Correlation Coefficient?

335

What is a recommender system?

337

How to run a pycharm debugging?

379

Case Study based questions - Cars are implanted with speed tracker so that the insurance companies can track about our driving state. Based on this new scheme what kind of business questions can be answered?

435

What does ITER () do in Python?

427

Why do we need generators in Python?

398

What is the goal of the clustering?

291

Discuss normal distribution

352

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