Data Science Interview Questions
Questions Answers Views Company eMail

Define the term cross-validation

91

what the aim of conducting a/b testing?

96

What is the k-means clustering method?

121

Name various types of deep learning frameworks

134

State the difference between the expected value and mean value?

98

Explain auto-encoder

92

How do you overcome challenges to your findings?

106

Discuss normal distribution

97

Explain cluster sampling technique in data science

149

What is the importance of having a selection bias?

104

Explain the steps for a data analytics project

114

Treating a categorical variable as a continuous variable would result in a better predictive model?

99

Name three types of biases that can occur during sampling?

113

What is a recall?

74

Explain the method to collect and analyze data to use social media to predict the weather condition?

240


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Un-Answered Questions { Data Science }

What is the return type of the function ID?

132


What data structures are available in the Pandas package in Python programming language?

125


Give a large dataset, find the median.

125


Define feature vector?

153


How can you decide if one algorithm is better than the other?

120






Find out K most frequent numbers from a given stream of numbers on the fly.

103


How to choose the right chart in case of creating a viz?

93


How can you produce co-relations and covariances?

103


Define the term cross-validation

91


When underfitting occurs in a static model?

148


Explain auto-encoder

92


What are apis used for?

93


Define a sql query? What is the difference between select and update query? How do you use sql in sas, python, r languages?

101


Can you explain the difference between a validation set and a test set?

94


How will you overcome overfitting in predictive models?

121