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Data Science Interview Questions
Questions Answers Views Company eMail

What is machine learning and how can it be used for time series analysis?

290

Explain recommender systems?

344

State the difference between a validation set and a test set?

340

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

358

What is a linear regression?

363

What is skewed distribution & uniform distribution?

332

Discuss decision tree algorithm?

303

What is back propagation?

320

List out the libraries in python used for data analysis and scientific computations?

309

What is a univariate analysis?

348

Name commonly used algorithms.

405

Explain why data cleansing is essential and which method you use to maintain clean data?

326

what is prior probability and likelihood?

392

Explain eigenvalue and eigenvector

319

Define boltzmann machine

309


Post New Data Science Questions

Un-Answered Questions { Data Science }

What do you understand by confusion matrix?

353


What are outlier values?

409


Explain the difference between univariate, bivariate and multivariate analysis?

282


What is cart and chaid?

308


How will you overcome overfitting in predictive models?

428


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

357


What is the 80/20 rule? Explain its importance in model validation?

313


Define boltzmann machine

309


Why data cleaning plays a vital role in the analysis?

381


How would you say data science is similar or different to business analytics and business intelligence?

302


How can you solve a problem that has no solution?

314


What packages are used for data mining in python and r?

341


Is it possible to perform logistic regression with Microsoft Excel?

376


What is chi-square tests?

368


What is pylab?

420