Pinned Repositories
Tutorials
Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.
confintr
R package for calculation of standard and bootstrap confidence intervals
flashlight
Machine learning explanations
MetricsWeighted
R package for weighted model metrics
missRanger
Fast multivariate imputation by random forests.
ml_lecture
intro to ML
outForest
Outlier detection based on random forest models
hstats
Friedman's H-statistics
kernelshap
Different SHAP algorithms
shapviz
SHAP Plots in R
mayer79's Repositories
mayer79/Bootstrap-p-values
Jupyter notebook showing how to get bootstrap p values in python in the two-sample t test setting
mayer79/data_preparation_r
base R vs. tidyverse vs. data.table vs. sqldf
mayer79/foodDetector
Deep learning in R and Windows...
mayer79/R-confidence-intervals-cramers-V
Function to compute confidence intervals for Cramér's V measure of association
mayer79/R-confidence-intervals-R-squared
Confidence intervals on R-squared
mayer79/actools
Tools for actuary science
mayer79/car_registrations
Swiss car registrations per model visualized as bar race chart
mayer79/keras_examples
Simple Keras examples of deep learning
mayer79/random_forest_benchmark
Benchmark for random forests
mayer79/tutorial_shap_diamonds
This Python tutorial is about Shapely values for model interpretability
mayer79/insurance
Collection of machine learning applied to french motor claims data
mayer79/interpretable_ml
Some code snippets about making machine learning models less black box
mayer79/plumber
Demo of the R package "plumber". How to deploy web services in R
mayer79/shades
Simple colour manipulation in R