Author(s):	Kevin Goetsch
Location	Braintree *new* HQ
Date	oct Thu 09	Days Raw Files
Start	19:00	First Raw Start	error-in-template
Duration	0:20:00	Offset	None
End	19:20	Last Raw End
Chapters
Total cuts_time	None min.

http://www.chipy.org/
raw-playlist raw-mp4-playlist encoded-files-playlist public mp4 svg png

assets release.pdf Data_Science_Pipeline_in_Python.json
logs
Admin: episode episode list cut list raw files day marks day marks day image_files

State:	--------- borked edit encode push to queue post richard review 1 email review 2 make public tweet to-miror conf done
Locked:	clear this to unlock
Locked by:	user/process that locked.
Start:	initially scheduled time from master, adjusted to match reality
Duration:	length in hh:mm:ss
Name:	Video Title (shows in video search results)
Emails:	email(s) of the presenter(s)
Released:	Unknown Yes No has someone authorised pubication
Normalise:
Channelcopy:	m=mono, 01=copy left to right, 10=right to left, 00=ignore.
Thumbnail:	filename.png
Description:	In my view, the core of Data Science is the development of predictive models (recommendation engines, fraud detection, churn prediction, etc.). While predictive models can be built in a number of languages I choose to do my work in Python because the Data Science Pipeline is more than just building models. I'll talk about the larger model development process and how I use Python to automate and document my work. markdown
Comment:	production notes