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Data Science Interview Questions
Questions Answers Views Company eMail

What is market basket analysis?

329

What is the central limit theorem?

337

What is linear optimization? Where is it used?

301

What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression? Name some packages in r and python for building regression models.

275

What is cart and chaid? How is bagging different from boosting?

282

How is a normal distribution different from chi square distribution?

315

What is an outlier?

265

What is nosql? Name some examples of nosql databases. What is a key value store? What is column storage? What is a document database?

263

What is cart and chaid?

289

Define a sql query?

299

How would you do market basket analysis in r and python?

326

What are apis used for?

348

Which package is used to do data import in r and python?

298

What is the central limit theorem? How is a normal distribution different from chi square distribution?

308

What is missing value imputation? How do you handle missing values in python or r?

319


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Un-Answered Questions { Data Science }

What do you do as a data scientist?

318


What are various steps involved in an analytics project?

292


What is clustering? What is the difference between kmeans clustering and hierarchical clustering?

355


What does a data scientist do?

361


How can outlier values be treated?

364


Please explain recommender systems along with an application?

303


You have been given the data on Facebook user's friending or defriending each other. How will you determine whether a given pair of Facebook users are friends or not?

320


Explain how can you assess a good logistic model?

277


Can you explain the difference between a Test Set and a Validation Set?

301


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

321


How can the outlier values be treated?

343


Estimate the number of square feet pizza's eaten in US each year.

313


Explain the decision tree algorithm?

342


Explain the differences between bivariate and multivariate analysis?

299


What assumptions does linear regression machine learning algorithm make?

323