kasaai / pc-pricing-tutorial
Practical Ratemaking
☆36Updated 5 years ago
Alternatives and similar repositories for pc-pricing-tutorial:
Users that are interested in pc-pricing-tutorial are comparing it to the libraries listed below
- Individual claims history simulation machine☆19Updated 5 years ago
- Randomly simulate inception and settlement of general insurance losses☆14Updated 2 years ago
- Data and Code to reproduce results for my talk at Paris: R in Insurance 2017 Conference☆18Updated 7 years ago
- Tidy datasets for actuarial science and insurance☆15Updated 5 years ago
- An R interface to the Python module Featuretools☆49Updated 4 years ago
- Makes difficult operations easy. Includes functions for shorthand, type conversion, data wrangling, and workflow.☆20Updated last year
- R-package for actuarial pricing☆70Updated 4 months ago
- DeepTriangle: A Deep Learning Approach to Loss Reserving☆46Updated 5 years ago
- Run models inside a database using R☆79Updated last year
- Example workflows for the drake R package☆56Updated 3 years ago
- Bootstrap tags input for shiny☆19Updated 7 years ago
- Drill-down data discovery with Shiny☆38Updated 6 years ago
- Extended logging solution for R☆13Updated 8 years ago
- fable extension for the prophet forecasting procedure☆56Updated last year
- MachineShop: R package of models and tools for machine learning☆62Updated 6 months ago
- Implement the rquery piped query algebra in R using data.table. Distributed under choice of GPL-2 or GPL-3 license.☆38Updated last year
- ☆38Updated 4 years ago
- Instructions for installing and configuring a data science lab.☆18Updated 3 years ago
- Material for the 2-day block course "Deep Learning with Actuarial Applications in R"☆35Updated 3 years ago
- A modified shinydashboard to incorporate more functionality from adminLTE☆41Updated 7 years ago
- Sample files for SSH + BasicAuth docker tutorial☆10Updated 4 years ago
- R interface to Vowpal Wabbit☆22Updated 5 years ago
- Structure mining for xgboost model☆26Updated 3 years ago
- Claims reserving models in R☆82Updated 2 weeks ago
- Slides and code for the 2018 useR! tutorial "Recipes for Data Processing"☆30Updated 6 years ago
- Explain black box with GLM☆23Updated 5 years ago
- An R wrapper of SHAP python library☆58Updated last year
- R code to encode categorical features for machine learning☆15Updated 2 years ago
- R Package for Reinforcement Learning☆33Updated 2 years ago
- useR! 2019 Tutorial: Automatic and Explainable Machine Learning with H2O in R (http://www.user2019.fr/tutorials/)☆26Updated 5 years ago