Data Science Interview Questions
Questions Answers Views Company eMail

Define convex hull?

161

Write the formula to calculate r-square?

180

Explain k-mean?

164

Explain recommender system?

159

Explain the two main components of the hadoop framework?

156

Define analytics?

151

Explain the difference between data modeling and database design?

160

Define data reduction?

142

Explain data munging or data wrangling?

149

Define linear regression?

168

Define feature vector?

227

Explain the difference between sas, r and python programming?

176

Explain data cleansing?

169

Explain the differences between univariate, bivariate and multivariate analysis?

159

Explain the difference between bayesian estimate and maximum likelihood estimation (mle)?

190


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Un-Answered Questions { Data Science }

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

190


What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression?

147


What do you understand by type I vs type ii error?

155


What is logistic regression in data science?

207


What is the role of activation function?

220


A dice is rolled twice, what is the probability that on the second chance it will be a 6?

182


Define linear regression?

168


Have you used sampling? What are the various types of sampling have you worked with?

180


Is it possible to capture the correlation between continuous and categorical variable?

186


Please explain eigenvectors and eigenvalues?

151


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

176


Differentiate between data modeling and database design?

180


Name commonly used algorithms.

191


Give an example of a data set that has a non-gaussian distribution?

168


Explain types of clustering algorithm?

155