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

317

what the aim of conducting a/b testing?

332

What is the k-means clustering method?

376

Name various types of deep learning frameworks

439

State the difference between the expected value and mean value?

345

Explain auto-encoder

327

How do you overcome challenges to your findings?

361

Discuss normal distribution

388

Explain cluster sampling technique in data science

406

What is the importance of having a selection bias?

319

Explain the steps for a data analytics project

454

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

329

Name three types of biases that can occur during sampling?

330

What is a recall?

381

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

546

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Un-Answered Questions { Data Science }

What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression?

313

What Is An Avl Tree?

315

What does ITER () do in Python?

459

How to solve multi-collinearity?

408

What is the difference between data science, machine learning and artificial intelligence?

324

What are limitations of DBSCAN?

459

What is meant by R statistics?

333

How is true positive rate and recall related? Write the equation.

322

Explain types of clustering algorithm?

315

What is a random forest?

307

How often should an algorithm be updated?

327

How is bagging different from boosting?

374

Define data reduction?

287

Explain reinforcement learning.

298

Define the term deep learning?

335

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