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Data Science Interview Questions
Questions Answers Views Company eMail

what is bias?

357

When underfitting occurs in a static model?

395

What is normal distribution

339

Which language is best for text analytics? R or python?

315

What is logistic regression in data science?

459

Name three disadvantages of using a linear model?

391

Explain p-value?

366

What is reinforcement learning?

338

Explain the term binomial probability formula?

323

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

333

Discuss 'naive' in a naive bayes algorithm?

352

Explain collaborative filtering

401

Define the term deep learning?

334

Explain the difference between data science and data analytics?

362

Explain the benefits of using statistics by data scientists

351


Post New Data Science Questions

Un-Answered Questions { Data Science }

How do you build a custom function in python or r?

341


What will you do if removing missing values from a dataset cause bias?

363


Now companies are heavily investing their money and time to make the dashboards. Why?

315


What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.

311


Explain auto-encoder

327


How often should an algorithm be updated?

327


Discuss linear regression?

328


Explain unsupervised learning?

309


What is back propagation?

330


Explain how to merge data frames in R?

331


How do you treat missing values during analysis?

329


Explain the goal of a/b testing?

336


How does data cleaning plays a vital role in the analysis?

403


On rolling a dice if you get $1 per dot on the upturned face,what are your expected earnings from rolling a dice?

289


What is data science? Also, list the differences between supervised and unsupervised learning.

323