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You are creating a report for user content uploads every month and observe a sudden increase in the number of upload for the month of November. The increase in uploads is particularly in image uploads. What do you think will be the cause for this and how will you test this sudden spike?
345You have a bag with 6 marbles. One marble is white. You reach the bag 100 times. After taking out a marble, it is placed back in the bag. What is the probability of drawing a white marble at least once?
275Suppose that American Express has 1 million card members along with their transaction details. They also have 10,000 restaurants and 1000 food coupons. Suggest a method which can be used to pass the food coupons to users given that some users have already received the food coupons so far.
292You are given a training dataset of users that contain their demographic details, the pages on Facebook they have liked so far and results of psychology test based on their personality i.e. their openness to like FB pages or not. How will you predict the age, gender and other demographics of unseen data?
290Burn two ropes, one needs 60 minutes of time to burn and the other needs 30 minutes of time. How will you achieve this in 45 minutes of time ?
293How can you build and test a metric to compare ranked list of TV shows or Movies for two Netflix users?
515How do you take millions of users with 100's of transactions each, amongst 10000's of products and group the users together in a meaningful segments?
386Post New Data Science Questions
Find out K most frequent numbers from a given stream of numbers on the fly.
What is the jupyter center ?
How do you use goal seek in excel?
What do you understand by the lattice package?
What is linear optimization?
What do you understand by Linear Regression in R?
What is logistic and linear regression? How do you treat multicollinearity and heteroscedasticity in regression?
Which machine learning algorithm will you use to solve a Uber driver accepting request?
What is machine learning and how can it be used for time series analysis?
In k-means or knn, we use euclidean distance to calculate the distance between nearest neighbors. Why not manhattan distance?
Explain the difference between an analyst and a data scientist?
What is missing value imputation? How do you handle missing values in python or r?
How do data scientists use statistics?
Explain the differences between univariate, bivariate and multivariate analysis?
How can the outlier values be treated?
