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Data Science Interview Questions
Questions Answers Views Company eMail

Do gradient descent methods always converge to same point?

343

What is logistic regression? Or state an example when you have used logistic regression recently?

366

What is a jupyter notebook?

362

Differentiate between univariate, bivariate and multivariate analysis?

351

How can you produce co-relations and covariances?

332

Write the code to sort an array in numpy by the nth column?

346

What does pip installation?

334

What is the difference between supervised learning an unsupervised learning?

348

What is cluster sampling in data science?

367

Explain how to write a table to a file?

382

What are recommender systems?

348

What is jupyter ?

366

What is the jupyter center ?

474

How would you create a taxonomy to identify key customer trends in unstructured data?

402

How to run a pycharm debugging?

422


Post New Data Science Questions

Un-Answered Questions { Data Science }

Python is enough for data science ?

354


Discuss 'naive' in a naive bayes algorithm?

352


What is the law of large numbers?

341


Explain how to merge the files into a single dataframe?

361


What are various steps involved in an analytics project?

334


List the variants of backpropagation?

384


How to understand the problems faced during data analysis?

340


How regularly must an algorithm be updated?

366


Explain types of statistical data?

323


What is logistic and linear regression? Name some packages in r and python for building regression models.

337


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

427


Explain about the box cox transformation in regression models?

302


Please explain the goal of a/b testing.

350


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

343


What is random forests and how is it different from decision trees?

314