Data Science Interview Questions
Questions Answers Views Company eMail

What are the different deep learning frameworks?

104

What is the supervised learning?

110

A jar has 1000 coins, of which 999 are fair and 1 is double headed. Pick a coin at random, and toss it 10 times. Given that you see 10 heads, what is the probability that the next toss of that coin is also a head?

1153

Is 8gb ram enough for data analysis?

99

What is the best laptop for data science?

97

How much ram do I need for data science?

85

Which laptop is best for data analysis?

94

What laptop should I buy for data science?

100

Is macbook good for data science?

98

Can you explain unsupervised learning?

94

Can you explain eigenvalue and eigenvector?

112

Can you define power analysis?

111

How do you treat missing values during analysis?

97

Can you explain collaborative filtering?

113

Which one would you prefer for text analytics python or r?

107


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Un-Answered Questions { Data Science }

What are Important things to remember for ggplot?

116


Explain the difference between a test set and a validation set?

102


Explain while working on a data set, how do you select important variables?

111


What are distance measures in R statistics?

137


What kind of product you want to build at LinkedIn?

97






What do I need to study to become a data analyst?

102


What is nosql? Name some examples of nosql databases.

124


What’s the difference between pip and pip3?

118


What is interpolation and extrapolation?

113


What is a linear regression in data science?

119


Write the code to reverse a Linked list.

179


Differentiate between skewed and uniform distribution?

109


What does the future hold for data scientists?

121


Explain recommender systems?

110


Do we have different selection biases, if yes, what are they?

142