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Data Science Interview Questions
Questions Answers Views Company eMail

What are the major skills data scientist need?

308

In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?

424

Can you explain cross-validation?

299

Can you explain data cleansing?

332

What is the difference between an analyst and a data scientist?

343

What do you understand by type I vs type ii error?

350

Can you explain supervised learning?

319

How do you understand by bias variance trade off?

335

Can you explain data munging or data wrangling?

325

What is difference between sas, r and python programming?

385

Can you define feature vector?

318

What is data scientist?

361

What is the advantage of performing dimensionality reduction before fitting an svm?

308

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

324

Can you define data discretization?

275


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Un-Answered Questions { Data Science }

A disc is spinning on a spindle and you don't know the direction in which way the disc is spinning. You are provided with a set of pins.How will you use the pins to describe in which way the disc is spinning?

443


What is a jupyter notebook?

365


How can you assess a good logistic model?

409


Explain k-mean?

322


Explain OLS in brief?

357


If we added one rider to the current SF market, how would that affect the existing riders and drivers?

391


What education is required for data science role?

333


Define an algorithm to discover when a person is starting to search for new job.

365


How many people are using Facebook in California at 1.30 PM on Monday?

427


What do you understand by Linear Regression in R?

606


Which one you prefer R or Python for text analytics?

409


How do you understand by bias variance trade off?

335


How will you check if an element 25 is present in a vector?

429


What do you understand by type I vs type ii error?

350


What are eigenvectors and eigenvalues?

429