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?

1151

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?

98

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?

109

How do you treat missing values during analysis?

95

Can you explain collaborative filtering?

113

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

105


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Un-Answered Questions { Data Science }

Why data science and data scientists are needed?

116


Estimate the number of square feet pizza's eaten in US each year.

116


How will you overcome overfitting in predictive models?

119


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

102


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

90






What jupyter used?

99


How will you test that there is increased probability of a user to stay active after 6 months given that a user has more friends now?

279


What do you understand by confusion matrix?

96


Differentiate between data modeling and database design?

103


What is f test?

101


What is skewed distribution & uniform distribution?

97


Please explain the goal of a/b testing.

91


How will you fix multi-colinearity in a regression model?

101


How to work towards a random forest?

105


Have you used sampling? What are the various types of sampling have you worked with?

106