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Data Science Interview Questions
Questions Answers Views Company eMail

What makes the difference between “long” and “wide” format data?

316

How and by what methods data visualizations can be effectively used?

333

How regularly must an algorithm be updated?

361

How often should an algorithm be updated?

322

What prior subject is required to become a data analyst?

328

How do you define data science?

318

How have you overcome a barrier to finding a solution?

299

Why is data cleaning essential in data science?

293

What is cross-validation?

290

What is meant by selection bias?

373

List the variants of backpropagation?

375

What are eigenvectors and eigenvalues?

414

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

309

What are an eigenvalue and eigenvector?

312

What are outlier values and how do you treat them?

383


Post New Data Science Questions

Un-Answered Questions { Data Science }

What is the importance of selection bias?

339


Please explain recommender systems along with an application?

351


What does pip installation?

330


Explain systematic sampling?

313


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

336


Explain data cleansing?

326


Explain the differences between bivariate and multivariate analysis?

339


Explain difference between binomial and Poisson distribution?

331


Where linear optimization is used?

411


How can you compute an inverse matrix faster by playing with some computation tricks?

330


Why are generators used in Python?

388


What’s the difference between pip and pip3?

372


Explain the structure of artificial neural networks?

418


while working on a data set, how can you select important variables? Explain

359


How can you compare a neural network that has one layer, one input and output to a logistic regression model?

286