What will you do if removing missing values from a dataset cause bias?
How can you reduce bias in a given data set?
How will you impute missing information in a dataset?
Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.
How will inspect missing data and when are they important for your analysis?
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.
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.
How can you compare a neural network that has one layer, one input and output to a logistic regression model?
How do you treat colinearity?
How will you deal with unbalanced data where the ratio of negative and positive is huge?
What is the difference between Stack and Queue
What is the difference between Linkedin and Array
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.
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?
Estimate the number of square feet pizza's eaten in US each year.