Ronald Richman's Projects
Course materials and handouts for #100DaysOfCode in Python course
Approximate Bayesian Comparison of Motor Policy quotes
Code for the 2023 AFRIC ML workshop
Code accompanying the paper "AI in Actuarial Science"
Code accompanying the paper "AI in Actuarial Science"
Official Sass port of Bootstrap
Materials from the OMI/ASABA workshop on the Cape-Cod method, 2022
Time series forecasting of weekly death data from HMD
Facial Keypoints
fashion_MNIST + tSNE
Experiment - apply the fast.ai tabular learner to the French TPL dataset
Bootstrapping the Generalized Cape Cod method
Code to apply the Marginal Attribution by Conditioning on Quantiles (MACQ) method
A repository with code accompanying the paper "Mind the Gap - Towards Safely Incorporating Deep Learning Models into the Actuarial Toolkit"
Code to accompany our paper on a multi-task network approach to discrimination free pricing
Materials for the 2023 OMI and ASABA Masterclass - "Applying ML for short-term insurance"
P&C pricing tutorial with R
Dog Breed App