Interested to Buy Any Domain ? << Click Here >> for more details...
Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.
382How 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.
322From 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.
357How can you compare a neural network that has one layer, one input and output to a logistic regression model?
328You 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.
372You 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?
407Post New Data Science Questions
What cross validation technique would you use on time series data set? Is it k-fold or loocv?
Write a program to segment a long string into a group of valid words using Dictionary. The result should return false if the string cannot be segmented. Also explain about the complexity of the devised solution.
Explain cluster sampling technique in data science
What are the different performance metrics for evaluating Uber services?
What is missing value imputation? How do you handle missing values in python or r?
What are an eigenvalue and eigenvector?
What are the important skills to have in python with regard to data analysis?
Explain calculate distance methods briefly?
How will you compare the results of various machine learning algorithms?
Explain types of statistical data?
What do you understand by decision tree?
Describe the various steps involved while carrying out an analytical project?
Define a/b testing?
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.
Can you explain unsupervised learning?
