RonRichman

AI_in_Actuarial_Science

Code accompanying the paper "AI in Actuarial Science"

Mind-the-Gap

A repository with code accompanying the paper "Mind the Gap - Towards Safely Incorporating Deep Learning Models into the Actuarial Toolkit"

pc-pricing-tutorial

P&C pricing tutorial with R

AFRIC2023

Code for the 2023 AFRIC ML workshop

fastai_on_freMTPL

Experiment - apply the fast.ai tabular learner to the French TPL dataset

GCC_bootstrap

Bootstrapping the Generalized Cape Cod method

multi_task_dfip

Code to accompany our paper on a multi-task network approach to discrimination free pricing

ABC_pricing

Approximate Bayesian Comparison of Motor Policy quotes

AIinActuarialScinece

Code accompanying the paper "AI in Actuarial Science"

copula_gan

covid_weekly

Time series forecasting of weekly death data from HMD

fashion_MNIST

fashion_MNIST + tSNE

OMI_ASABA_MC_2023

Materials for the 2023 OMI and ASABA Masterclass - "Applying ML for short-term insurance"

Regularized-LocalGLMnet

traffic_mortality

100daysofcode-with-python-course

Course materials and handouts for #100DaysOfCode in Python course

bootstrap-sass

Official Sass port of Bootstrap

capecod_workshop

Materials from the OMI/ASABA workshop on the Cape-Cod method, 2022

chain_ladder_life_table

CVND_Project1

Facial Keypoints

face_gen

fast_ai_experiments

fastai-v3

MACQ

Code to apply the Marginal Attribution by Conditioning on Quantiles (MACQ) method

RonRichman

ronrichman.github.io

stochastic_reserving

udacity_dlnd_project2

Dog Breed App