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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.
341How 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.
290From 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.
326How can you compare a neural network that has one layer, one input and output to a logistic regression model?
288You 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.
332You 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?
358Post New Data Science Questions
Name the methods for General component analysis and explain them?
What do you mean by the term linear regression?
How will you design the heatmap for Uber drivers to provide recommendation on where to wait for passengers? How would you approach this?
How do you treat colinearity?
What is a generating function?
Which is the best suitable language among python and r for text analytics?
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?
What is column storage? What is a document database?
Explain types of clustering algorithm?
If you had to choose between the programming languages r and python, which one would you use for text analytics?
What are big data and data science?
Define an algorithm to discover when a person is starting to search for new job.
Explain the term binomial probability formula?
Develop an algorithm to sort two lists of sorted integers into a single list.
What do you understand by linear regression and logistic regression?
