Skip to content

An attempt to answer the "What do you do ?" question for data scientists, on different abstraction levels

Notifications You must be signed in to change notification settings

LoomisLoud/explain-ml

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

37 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Explaining Machine Learning

"What do you do ?" is the question we sometimes have a hard time answering as data scientists and ml researchers. This project tries to answer this very question with at least two levels of abstraction: casual learner, and programmer/math savy learner.

You've stumbled upon the repository containing the code related to the following article medium. If you're interested, we invite you to read the article as it will put everything into context. The analysis and predictive models that you can find here are meant to support the article and not to be the best possible, but a mere glimpse into what Data Scientists are brought to do on a daily basis.

Do not hesitate to open issues on the project to correct our mistakes as there most probably are some !

Thanks, and have a fun read.

About

An attempt to answer the "What do you do ?" question for data scientists, on different abstraction levels

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published