Data Science Interview Questions
Questions Answers Views Company eMail

Discuss artificial neural networks

95

Is it possible to capture the correlation between continuous and categorical variable?

114

why do you need to perform resampling?

86

What is a random forest?

103

How to determine the number of clusters in k-means clustering algorithm?

95

Discuss linear regression?

105

Which is the best suitable language among python and r for text analytics?

102

Differentiate between supervised and unsupervised learning?

97

What do you understand by bias, variance trade-off?

99

Explain reinforcement learning.

97

What do you understand by l1 and l2 regularization methods?

109

What are the differences between data science, machine learning, and artificial intelligence?

90

What do you understand by clustering?

91

Differentiate between regression and classification algorithms?

105

Explain the decision tree algorithm?

136


Post New Data Science Questions

Un-Answered Questions { Data Science }

What is meant by Poisson regression?

121


Why is Python used in data science?

117


How does data cleaning plays a vital role in the analysis?

93


Why we need ggplot?

123


What do you do as a data scientist?

101






What is the basic responsibility of a data scientist?

95


Name the packages that are based on density based on the algorithm?

95


Explain box cox transformation?

119


What are Important things to remember for ggplot?

116


How would add new Facebook members to the database of members, and code their relationships to others in the database?

148


Can you explain eigenvalue and eigenvector?

114


What are distance measures in R statistics?

137


What are the various steps involved in an analytics project?

90


What is the procedure to check the cumulative frequency distribution of any categorical variable?

114


What is systematic sampling?

94