Starred repositories
Python training for business analysts and traders
Actuarial Data Science WP - Various Tree based architectures
An HTTP library for Rust
A neural network library written from scratch in Rust along with a web-based application for building + training neural networks + visualizing their outputs
This repository is a list of machine learning libraries written in Rust. It's a compilation of GitHub repositories, blogs, books, movies, discussions, papers, etc. 🦀
🦀 Small exercises to get you used to reading and writing Rust code!
Makes it easy to get data from Human Mortality Database (HMD) into Julia!
Sudhir Behera, Data Science projects.
Approaching (Almost) Any Machine Learning Problem
A simple implementation of a feed-forward neural network in D.
Creates Python zip file layers for AWS Lambda
This repo contains exploratory code for Bayesian Neural Networks
actuary87 / buenavista
Forked from jwills/buenavistaEnable Direct Query for DuckDB - Power BI
Data and Code to reproduce results for my talk at Paris: R in Insurance 2017 Conference
Half day workshop covering insurance pricing with GAMs, GLMs, trees and clustering.
This repository illustrates some work in using GLMs to price car insurance based on car insurance policy and claim data. It also features some systematic data exploration and the use of MonteCarlo …
Towards Explainability of Machine Learning Models in Insurance Pricing
DeepTriangle: A Deep Learning Approach to Loss Reserving