Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.
119How 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.
111You 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?
119Post New Data Science Questions
What’s the difference between pip and pip3?
How have you overcome a barrier to finding a solution?
What is the probability of pulling a different shape or a different colour card from a deck of 52 cards?
What is the return type of the function ID?
How many big Macs does McDonald sell every year in US?
Explain the difference between overfitting and underfitting?
How do you use goal seek in excel?
Explain how to define the number of clusters in a clustering algorithm?
Can you define cluster sampling?
What are Important things to remember for ggplot?
What are feature vectors?
What are outlier values?
Explain how to merge the files into a single dataframe?
What do you know about autoencoders?
What do you understand by Poisson distribution?
