Data Science Interview Questions
Questions Answers Views Company eMail

What do you mean by p-value?

84

What is the 80/20 rule?

112

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

102

What is the roc curve?

99

What is the aim of a/b testing?

78

Define naive bayes?

83

How is data science different from data analytics?

100

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

96

Explain box cox transformation?

117

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

94

What is the svm algorithm?

105

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

124

Explain the term "data warehouse".

79

What do you understand by ensemble learning?

91

What do you understand by confusion matrix?

94


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Un-Answered Questions { Data Science }

How can outlier values be treated?

161


What is a recall?

74


How to check the frequency distribution of a categorical variable?

117


How to create survival object in R?

207


What are outlier values and how do you treat them?

86






Which is the standard data missing marker used in pandas?

127


How do data scientists code in r?

97


What is the difference between Linkedin and Array

109


What is logistic regression in data science?

99


What is the job of analytics?

109


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

97


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

125


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

138


What do you understand by clustering?

91


Are expected value and mean value different?

124