Un-Answered Questions { Data Science }

What will you do if removing missing values from a dataset cause bias?

116


How can you reduce bias in a given data set?

122


How will you impute missing information in a dataset?

113


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 will inspect missing data and when are they important for your analysis?

155


How will you decide whether a customer will buy a product today or not given the income of the customer, location where the customer lives, profession and gender? Define a machine learning algorithm for this.

107


From a long sorted list and a short 4 element sorted list, which algorithm will you use to search the long sorted list for 4 elements.

114


How can you compare a neural network that has one layer, one input and output to a logistic regression model?

116


How do you treat colinearity?

106


How will you deal with unbalanced data where the ratio of negative and positive is huge?

110


What is the difference between Stack and Queue

142


What is the difference between Linkedin and Array

109


You are about to get on a plane to Seattle, you want to know whether you have to bring an umbrella or not. You call three of your random friends and as each one of them if it's raining. The probability that your friend is telling the truth is 2/3 and the probability that they are playing a prank on you by lying is 1/3. If all 3 of them tell that it is raining, then what is the probability that it is actually raining in Seattle.

109


You have been given the data on Facebook user's friending or defriending each other. How will you determine whether a given pair of Facebook users are friends or not?

119


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

114