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
@dcsan thanks... yes: I would definitively have a look at those options...
If I am emphasising d3 is because I believe that I will learn more about event-driven programming, css/html and JS as well as getting better in interactive visualization techniques all at once if I follow that path, but definitively: no point to use d3 if what you need is just a traditional graph...
evaristoc sends brownie points to @dcsan :sparkles: :thumbsup: :sparkles:
DSR (DataScience Room) is an effort to gather campers of all levels and specializations willing to engage in discussion, collaboration and practice of data-related projects with focus on JS and FCC.
Question: who have been playing with the dataset recently? Talk about your results here!
--- @QuincyLarson suggested that visualization and analyses contributions could be included in the FCC site, so feel free to participate!
--- check also the @vicky002's list
In the FCC News...:
Please also check the @dcsan list of chart libraries
... Next Week...:
for those interested on machine learning to study some interesting patterns, application for MOOC:
@quatridunull, @vicky002 --- let you know that we don't have enough data for that in the Torrent dataset, BUT we can start something with Gitter rooms: https://www2.informatik.hu-berlin.de/~kloftmar/publications/emnlp_mooc.pdf
This one was what I was looking for actually (the rest was found meanwhile but still interesting...), @luishendrix92 --- don't get scare, but we can at least get inspired from this work, also @hallaathrad, @ltegman:
Differences between ML and DataSci:
@jameswinegar,@jbmartinez: this one interesting but maybe still a bit too much... ML extension to peer reviewing: