Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.
121How 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.
107From 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.
118How can you compare a neural network that has one layer, one input and output to a logistic regression model?
118You 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.
115You 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?
121Post New Data Science Questions
What do you understand by normal distribution?
Define a/b testing?
What is the svm algorithm?
Can you explain the difference between a validation set and a test set?
What do you do as a data scientist?
Differentiate between regression and classification algorithms?
How can you deal with different types of seasonality in time series modelling?
Which is the best suitable language among python and r for text analytics?
What is an Eigenvalue and Eigenvector?
What are feature vectors?
Give a large dataset, find the median.
What is an rdbms? Name some examples for rdbms? What is crud?
What is market basket analysis? How would you do it in r and python?
What are limitations of DBSCAN?
Why is resampling done?
