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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.
337How 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.
287From 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.
323How can you compare a neural network that has one layer, one input and output to a logistic regression model?
285You 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.
328You 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?
355Post New Data Science Questions
What is meant by feature vectors?
What is the central limit theorem? How is a normal distribution different from chi square distribution?
Discuss normal distribution
You own a clothing enterprise and want to improve your place in the market. How will you do it from the ground level ?
Are expected value and mean value different?
What data structures are available in the Pandas package in Python programming language?
why do you need to perform resampling?
Could you draw a comparison between overfitting and underfitting?
What is random forests and how is it different from decision trees?
You are at a Casino. You have two dices to play with. You win $10 every time you roll a 5. If you play till you win and then stop, what is the expected pay-out?
Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.
Why is data cleaning essential in data science?
Can you define power analysis?
What is meant by linear regression?
What is clustering? What is the difference between kmeans clustering and hierarchical clustering?
