https://github.com/mdevans21/xgboost-virtual-data-science-seminar
XGBoost Insurance Pricing code comparing results with GLM and GAM for Actuarial Virtual Data Science Seminar
https://github.com/mdevans21/xgboost-virtual-data-science-seminar
Last synced: 4 months ago
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XGBoost Insurance Pricing code comparing results with GLM and GAM for Actuarial Virtual Data Science Seminar
- Host: GitHub
- URL: https://github.com/mdevans21/xgboost-virtual-data-science-seminar
- Owner: mdevans21
- Created: 2019-02-18T22:41:49.000Z (about 6 years ago)
- Default Branch: master
- Last Pushed: 2023-11-06T14:17:52.000Z (over 1 year ago)
- Last Synced: 2024-08-13T07:13:28.456Z (8 months ago)
- Language: R
- Size: 14.6 KB
- Stars: 18
- Watchers: 2
- Forks: 12
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# xgboost-virtual-data-science-seminar
XGBoost Insurance Pricing code comparing results with GLM and GAM for Actuarial Virtual Data Science Seminar
This script accompanies a presentation given at the Actuarial Data Science Seminar in February 2019
https://www.actuaries.org.uk/learn-develop/attend-event/data-science-opportunities-actuaries
Presentation video:
https://youtu.be/sOyMLB1SsFk
The code shows several different regression approaches, comparing GLM and GAM to XGBoost
Please note that the code is for purposes of demonstration only, if you see bugs please correct with
a pull request.
Matthew Evans
Callum Hughes