Fowl Escapades
2000 Zindi Points
Southern African Bird Call Audio Identification Challenge
16 January–19 April 2020 23:59
77 data scientists enrolled, 7 on the leaderboard
No starter code in R
published 16 Jan 2020, 17:30

There seems to be a strong bias for python.

MORE PEOPLE USES PYTHON IT'S SEEMS THE STARTER NOTEBOOK IS FROM A COMPETITOR ALSO.

YOU CAN ALSO MAKE IT AVAILABLE FOR R-USERS

Hi,

I make the starter notebooks in Python on my own time - just trying to help more people get started. I'd try to do the same in R but my R is generally appalling :) Would love it if we could find some R folks in the community who felt like sharing their code so that beginners can choose whichever they prefer.

For this challenge, in particular, I'm hoping to do an entry in R since there seem to be some great libraries for audio feature extraction. Maybe when I have a draft you could give it a look over to make sure I'm not making any embarrassing mistakes?

To clarify: I do a bit of work with Zindi so 'competitor' status is ¯\_(ツ)_/¯, and I got a couple of days head start to put the notebook together (much as I'd like to imagine it all happened in the hour after launch) :)

Thanks johnowhitaker. I appreciate your starter codes and I am sure the community does as well. I see you do same on most Data science platforms. Well done. You have inspired me to commit to creating starter codes in R. However, I have limited experience with audio analysis. Once I crack the code, I shall share a notebook. Meanwhile, appreciate if any R user shares a notebook on this challenge.

good to know

africa beating the benchmark Hero.