Lifelines: Survival Analysis in Python
ฝัง
- เผยแพร่เมื่อ 13 ต.ค. 2014
- Montreal, Sept. 23, 2014 - While tools like linear regression and logistic regression moved from statistics to machine learning, the field of survival analysis was unfortunately left behind. Il this talk Cameron Davidson-Pilon introduces survival analysis, how it is used, and a pure Python implementation: Lifelines.
Useful links:
* lifelines: sflx.ca/lifelines
* Cameron: / cmrn_dp
* MP48: sflx.ca/mp48e
* Montreal Python: montrealpython.org
* Savoir-faire Linux: sflx.ca/jobs - วิทยาศาสตร์และเทคโนโลยี
Thanks a lot :) simple and precise.
I was wondering whether this algo can be used for demand forecasting models with capacity peaks
6:25 How can this "modern" survival analysis be cooler than actuarial analysis even though it is the same thing?
obviously, it is cooler because he is doing it now...teehee...
do you have the code for the survival regression or even slides.
Great talk!
HUGE fan of CDP. What an impact he has made on the data science community and modern business!
Is the GitHub repo for this still available somewhere?
im still confused with what duration should be. should it be duration they were in power or duration from start to current_date, since we talk about censorship as well?
Francisco Mendoza if end is unknown. Take the time upto the date of analysis.
Francisco Mendoza also there is a datetime smtg function in lifelines docs. That saves the trouble
could you please leave that "dd.csv" somewhere? I can only find different versions, I think. Cheers.
Thank you, Samuel! I'll try again!
import lifelines
data = lifelines.datasets.load_dd()
the dataset is in the lifelines library
Hi Ted Mosby
wow this guy is so hot. I wish I had my statistical teacher like him back in uni
Need to improve typing skill :D