Data Science Interview Questions
Questions Answers Views Company eMail

Define convex hull?

96

Write the formula to calculate r-square?

117

Explain k-mean?

99

Explain recommender system?

88

Explain the two main components of the hadoop framework?

82

Define analytics?

73

Explain the difference between data modeling and database design?

83

Define data reduction?

82

Explain data munging or data wrangling?

89

Define linear regression?

106

Define feature vector?

153

Explain the difference between sas, r and python programming?

118

Explain data cleansing?

96

Explain the differences between univariate, bivariate and multivariate analysis?

94

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

115


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Un-Answered Questions { Data Science }

What is term Pearson’s Correlation Coefficient?

129


How often should an algorithm be updated?

85


What are the drawbacks of the linear model?

109


Explain systematic sampling?

101


What is data scientist?

139






What are the types of business decisions?

101


What is selection bias?

93


How can you assess a good logistic model?

178


In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?

164


What is meant by linear regression?

99


Can you write the formula to calculate r-square?

103


What is supervised learning?

93


Differentiate between type I and type ii error?

104


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

126


What is the probability of pulling a different shape or a different colour card from a deck of 52 cards?

99