Really excited to attend #JupyterCon in Paris this year!

Vincent Maladiere and I will present a full day tutorial on predictive Survival Analysis and Competing Risks modeling with a Gradient Boosting model assembled from generic scikit-learn building blocks. We will also introduce many concepts and model evaluation methodology using specialized libraries such as lifelines and scikit-survival.

Here is the full agenda for this session:

https://cfp.jupytercon.com/2023/talk/ACPULZ/

#PyData #SurvivalAnalysis #sklearn

RT @SDAS_ANZ@twitter.com

An introduction to Survival Analysis using @Stata@twitter.com' is an ideal #SurvivalAnalysis tutorial for #DataAnalysts. Also perfect for those familiar with Survival Analysis but not so adept at using @Stata@twitter.com. Includes a new chapter on #PredictiveMargins

https://www.surveydesign.com.au/stata/books.html?bk=111 #StataPress

🐦🔗: https://twitter.com/SDAS_ANZ/status/1609721385873448961

The Orange data mining platform is one of the most intuitive programs available to use data science that does not require programming.
Includes widgets for #imageanalysis #timeseries #spectroscopy #bioinformatics #geolocation #associationrules, #cellularbiology #bioinformatics #survivalanalysis ...

https://orangedatamining.com/

#datamining #datascience