robbie-sp Goto Github PK
Name: Rob Spaul
Type: User
Bio: General insurance actuary with interests in data science and pushing the actuarial profession towards open source tools
Rob Spaul's Projects
advent-of-code-2020
blog
my personal blog
bokeh_examples
playing around with Bokeh
claims_models
dummy_data
Generator for dummy data
family_tree
flask_tutorial
My version of the Flask Mega Tutorial
fullstack-nanodegree-vm
genact
Python package for actuarial projects in General Insurance
hello-world
the standard intro
indclaimdev
Individual Claim Development Model for General (P&C) Insurance Claims
notes_on_bayes_mcmc
Notes collected on Bayesian MCMC, mostly for applications to general insurance
open-actuarial-site
Website for Open Actuarial
pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
probabilistic-programming-and-bayesian-methods-for-hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
programming_for_actuaries_talk
How adopting programming techniques can help actuaries
py_chainladder
Chainladder reserving in python
robbie-sp.github.io
Rob's blog
stancasestudy_losscurves
This repository holds the code and stan files for the creation of an example Stan case study on modelling loss curves in Insurance.
thinkful-mentor
code sample, refactoring - for thinkful students
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