Data Science Interview Questions
Questions Answers Views Company eMail

Explain about string parsing in R language

Google,

112

A disc is spinning on a spindle and you don't know the direction in which way the disc is spinning. You are provided with a set of pins.How will you use the pins to describe in which way the disc is spinning?

Google,

188

Describe the data analysis process.

Google,

109

How will you cut a circular cake into 8 equal pieces?

Google,

109

Define an algorithm to discover when a person is starting to search for new job.

LinkedIn,

136

How will you prove that the square root of 2 is irrational?

Goldman Sachs,

104

Explain principal components analysis with equations.

Uber,

89

How will you compare the results of various machine learning algorithms?

Uber,

139

Implementing pow function

LinkedIn,

105

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

LinkedIn,

103

Which machine learning algorithm will you use to solve a Uber driver accepting request?

Uber,

136

What approach will you follow to develop the love,like, sad feature on Facebook?

Facebook,

148

You are given 50 cards with five different colors- 10 Green cards, 10 Red Cards, 10 Orange Cards, 10 Blue cards, and 10 Yellow cards. The cards of each colors are numbered from one to ten. Two cards are picked at random. Find out the probability that the cards picked are not of same number and same color.

Facebook,

163

Pick up a coin C1 given C1+C2 with probability of trials p (h1) =.7, p (h2) =.6 and doing 10 trials. And what is the probability that the given coin you picked is C1 given you have 7 heads and 3 tails?

Facebook,

145

Give a large dataset, find the median.

Twitter,

125


Post New Data Science Questions

Un-Answered Questions { Data Science }

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

103


What are iterators in Python?

98


How will you design the heatmap for Uber drivers to provide recommendation on where to wait for passengers? How would you approach this?

1400


What is meant by sampling? Explain some sampling methods that you know?

86


What is logistic and linear regression? Name some packages in r and python for building regression models.

104






What is data science? Also, list the differences between supervised and unsupervised learning.

105


Explain the differences between univariate and multivariate analysis?

113


What is meant by lattice graphs?

182


What is the aim of a/b testing?

79


Can you define data discretization?

79


Explain why data cleansing is essential and which method you use to maintain clean data?

103


What is back propagation?

80


Explain the role of activation function?

85


Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.

119


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

102