Data Science Interview Questions
Questions Answers Views Company eMail

What are the types of business decisions?

101

What is root Linear Regression analysis?

135

What are generators in Python?

129

What is a data science job?

161

Which objects are iterated in python?

120

How long does it take to become a data scientist?

133

How to create survival object in R?

211

What do you mean by survival analysis in R?

130

Name the methods for General component analysis and explain them?

171

Which one you prefer R or Python for text analytics?

139

Explain how to merge data frames in R?

123

What are distance measures in R statistics?

137

What are independent graphics subsystems?

146

What is correlation in R?

140

Explain calculate distance methods briefly?

94


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Un-Answered Questions { Data Science }

State some use cases where Hadoop MapReduce works well and where it does not.

120


Can you define data discretization?

79


What approach will you follow to develop the love,like, sad feature on Facebook?

152


How many people are using Facebook in California at 1.30 PM on Monday?

178


Define linear regression?

106






What is a univariate analysis?

103


How to work towards a random forest?

105


Explain the difference between overfitting and underfitting?

113


Discuss decision tree algorithm?

98


Explain how can you assess a good logistic model?

85


What are distance measures in R statistics?

137


What is the goal of A/B Testing?

132


Explain about the various time series forecasting technqiues.

111


How and by what methods data visualizations can be effectively used?

103


Can you cite some examples where a false positive is important than a false negative?

108