Practitioners view on predictive modelling
Konrad Semsch
Practitioners view on predictive modelling
Home
About
Experience
Linkedin
GitHub
Email me
Archives
Tags
RSS
2020
May
My contribution to the tidymodels ecosystem - implementing supervised discretization step with XgBoost backend
2019
November
step_shadow_missing - implementing a custom {recipes} step to account for missing data patterns
October
Testing the tune package from tidymodels - analysing the relationship between the upsampling ratio and model performance
August
{ggrapid}: Create neat & complete ggplot visualizations with as little code as possible
Caret vs. tidymodels - comparing the old and new
Konrad Semsch
Practitioners view on predictive modelling
Senior Data Scientist @ innogy SE
Dortmund, Germany