These are chat archives for FreeCodeCamp/DataScience
discussion on how we can use statistical methods to measure and improve the efficacy of http://freeCodeCamp.com
I would like to see the attrition rate as well . . . I'm sure it's a nice power curve drop-off.
But you can filter for "active users" or something
I know that the data is going to be noisy as heck. It would be interesting to classify users in certain ways: For example, someone who is an "expert" coming in would complete LOTS of early waypoints very quickly.
Someone who is a genuine novice may only complete a few a day
I think that we might be able to tease these sort of relationships out and be able to group users into rough categories.
Then we can see how far each type gets, which problems send them to he help rooms, etc.
There is also going to be noise from broken tests as well."
Why does this sound suspiciously like a k-means clustering algorithm problem
qmikew1 sends brownie points to @saintpeter :sparkles: :thumbsup: :sparkles: