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Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.
304How 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.
267From 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.
302How can you compare a neural network that has one layer, one input and output to a logistic regression model?
262You 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.
298You 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?
319Post New Data Science Questions
What is market basket analysis?
What is the probability of getting a HTT combination before getting a TTH combination?
What is bias – variance tradeoff?
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.
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.
What is a/b testing in data science?
What is the importance of having a selection bias?
What are the key elements of the statistical graphics?
How would you say data science is similar or different to business analytics and business intelligence?
Explain the difference between data science and data analytics?
Explain data munging?
Where to seek help in case of discrepancies in tableau?
A box has 12 red cards and 12 black cards. Another box has 24 red cards and 24 black cards. You want to draw two cards at random from one of the two boxes, which box has a higher probability of getting cards of same colour and why?
How decision tree algorithm is different from the random forest algorithm?
Can you cite some examples where both false positive and false negatives are equally important?
