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Data Science Interview Questions
Questions Answers Views Company eMail

Can you define a/b testing?

329

What cross validation technique would you use on time series data set? Is it k-fold or loocv?

309

Can you explain interpolation and extrapolation?

338

Can you explain difference between data modeling and database design?

365

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

351

Explain how can you assess a good logistic model?

325

Define cluster sampling?

339

Explain data munging?

387

Explain root cause analysis?

366

How is true positive rate and recall related?

289

Explain the differences between bivariate and multivariate analysis?

361

Explain interpolation and extrapolation?

330

Explain data wrangling?

349

Define a/b testing?

386

Explain unsupervised learning?

311


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Un-Answered Questions { Data Science }

Suppose that American Express has 1 million card members along with their transaction details. They also have 10,000 restaurants and 1000 food coupons. Suggest a method which can be used to pass the food coupons to users given that some users have already received the food coupons so far.

336


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

315


How to understand the problems faced during data analysis?

347


Which machine learning algorithm will you use to solve a Uber driver accepting request?

372


What are distance measures in R statistics?

402


How do you take millions of users with 100's of transactions each, amongst 10000's of products and group the users together in a meaningful segments?

435


Explain k-mean?

322


Anaconda is a wikipedia programming language?

349


A test has a true positive rate of 100% and false positive rate of 5%. There is a population with a 1/1000 rate of having the condition the test identifies. Considering a positive test, what is the probability of having that condition?

564


Explain collaborative filtering

411


Burn two ropes, one needs 60 minutes of time to burn and the other needs 30 minutes of time. How will you achieve this in 45 minutes of time ?

338


What is logistic regression in data science?

463


What is underfitting?

327


How will you compare the results of various machine learning algorithms?

370


What are the different deep learning frameworks?

358