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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?
404You 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?
313Suppose 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.
336You 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?
339Burn 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 ?
338How can you build and test a metric to compare ranked list of TV shows or Movies for two Netflix users?
566How 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?
435Post New Data Science Questions
What is back propagation and explain it’s working.
Explain the difference between data science, machine learning and artificial intelligence?
Name Methods to Calculate Distance Measure?
What is an outlier? How do you treat outlier data?
Explain why data cleansing is essential and which method you use to maintain clean data?
What do you understand by linear regression and logistic regression?
How will you drop variables using indices in a data frame?
What do I need to study to become a data analyst?
What is logistic regression? Or state an example when you have used logistic regression recently?
What is logistic and linear regression?
You 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?
What are Principal components?
Which one you prefer R or Python for text analytics?
why do you need to perform resampling?
How do data scientists use statistics?
