JackyP
JackyP
Thinking about how to plug the data into various models. https://github.com/mlr-org/mlr3/issues/274#issuecomment-510618455 Given there is a mlr3 dplyr backend (https://github.com/mlr-org/mlr3db/blob/master/R/DataBackendDplyr.R) and data.table backend (https://github.com/mlr-org/mlr3/blob/master/R/DataBackend.R) it doesn't seem too hard to adapt...
Hi, There is an inconsistency where Mack summary has all origin periods, but glmReserve drops the first origin period. ```{r} library(ChainLadder) dev_glm
https://pat-laub.github.io/DeepLearningForActuaries/
https://www.youtube.com/watch?v=pBMQ3q0AFGo&feature=youtu.be https://institute-and-faculty-of-actuaries.github.io/mlr-blog/post/research/chain_ladder_to_individual_mdn/
Build this out with something more basic than https://institute-and-faculty-of-actuaries.github.io/mlr-blog/ but referencing perhaps https://chainladder-python.readthedocs.io/en/latest/
https://executablebooks.org/en/latest/gallery.html We can consider asking to get added to gallery when we're officially live but this issue is more to consider what content we can link to from other books...
Basically the repo we cloned already had an intro to Python so I just kept it. We should have some materials from Python Study Group to use somehow. This issue...
Consider including other analytics snippets https://www.actuaries.digital/?s=analytics+snippet
Something to recognise the authors of the articles. E.g. Actuaries Digital has about the authors at the end of each article.