Data Science Interview Questions
Questions Answers Views Company eMail

What do you mean by p-value?

88

What is the 80/20 rule?

112

How decision tree algorithm is different from the random forest algorithm?

106

What is the roc curve?

99

What is the aim of a/b testing?

81

Define naive bayes?

85

How is data science different from data analytics?

107

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

100

Explain box cox transformation?

119

Explain the decision tree algorithm, and how is it different from the random forest algorithm?

98

What is the svm algorithm?

109

Explain the importance of 80/20 rule in model validation?

124

Explain the term "data warehouse".

79

What do you understand by ensemble learning?

97

What do you understand by confusion matrix?

98


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Un-Answered Questions { Data Science }

How will you drop variables using indices in a data frame?

138


How can you reduce bias in a given data set?

124


What are various steps involved in an analytics project?

105


What prior subject is required to become data analyst?

137


What is the job of a data scientist?

93






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

108


Explain about string parsing in R language

114


Implement a sorting algorithm for a numerical dataset in Python.

142


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

178


Explain principal components analysis with equations.

91


Name three disadvantages of using a linear model?

106


What skills do you need to be a data analyst?

123


Where linear optimization is used?

95


You have two sorted array of integers, write a program to find a number from each array such that the sum of the two numbers is closest to an integer i.

113


Explain how to merge data frames in R?

123