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Data Science Interview Questions
Questions Answers Views Company eMail

What are the important skills to have in python with regard to data analysis?

336

Please explain gradient descent?

339

What is an example of a data set with a non-gaussian distribution?

331

What do you know about autoencoders?

354

How can you select k for k-means?

322

What is the difference between skewed and uniform distribution?

344

What does sas stand out to be the best over other data analytics tools?

333

What are interpolation and extrapolation?

340

What is a recommender system?

372

How do data scientists use statistics?

330

Compare sas, r, python, perl?

344

Are the expected value and mean value different?

388

Could you explain how to define the number of clusters in a clustering algorithm?

327

What are the time series algorithms?

390

What are the principal components?

347


Post New Data Science Questions

Un-Answered Questions { Data Science }

How different is a mean value different from expected value?

421


Can you compare the validation set with the test set?

336


What is interpolation and extrapolation?

420


What is the importance of selection bias?

343


How will you define the number of clusters in a clustering algorithm?

452


A jar has 1000 coins, of which 999 are fair and 1 is double headed. Pick a coin at random, and toss it 10 times. Given that you see 10 heads, what is the probability that the next toss of that coin is also a head?

1474


Explain auto-encoder

330


Give some situations where you will use an SVM over a RandomForest Machine Learning algorithm and vice-versa?

460


List the variants of backpropagation?

384


Explain the difference between an analyst and a data scientist?

313


Explain survivorship bias?

448


What is a linear regression in data science?

345


How can you assess a good logistic model?

409


Why is data munging useful?

308


Explain p-value?

371