Estimate the probability of a disease in a particular city given that the probability of the disease on a national level is low.
288How 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.
252From 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.
288How can you compare a neural network that has one layer, one input and output to a logistic regression model?
254You 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.
283You 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?
299Post New Data Science Questions
What is missing value imputation? How do you handle missing values in python or r?
Name three types of biases that can occur during sampling?
List out the libraries in python used for data analysis and scientific computations?
What are you employed pip?
Can you explain systematic sampling?
What is the difference between a bagged model and a boosted model?
What is difference between sas, r and python programming?
What is supervised learning?
What Is An Avl Tree?
Different between overfitting and underfitting?
Advantages of tableau prep?
Can you use a generator to create iterators?
What are apis used for?
What laptop should I buy for data science?
Discuss artificial neural networks