Model trained.
Validation in progress. 🍷
#RStats #FastML

SHAP analysis for the UCI Red Wine regression shows alcohol, total sulfur dioxide, and density as the strongest contributors, with smaller effects from sulphates, volatile acidity, and other features.
Repo: github.com/bartuyurdaca...
#RStats #ML #FastML @rfastmlpackage.bsky.social

Model comparison for the UCI Red Wine regression.
Random Forest performs best across RMSE, MAE, and R², while XGBoost performs worst.

Repo: github.com/bartuyurdaca...

#RStats #ML #FastML @rfastmlpackage.bsky.social

Feature importance from my UCI Red Wine regression using the fastml R package. Repo: github.com/bartuyurdaca...
#RStats #ML #FastML #WineQuality @rfastmlpackage.bsky.social

Electricity Market Visualization in R

Modern R-based visualizations analyzing Turkey’s monthly electricity market — licensed/unlicensed generation, installed capacity & import–export trends.

#RStats #DataViz #ggplot2 #Tidyverse #Patchwork #InfographicDesign #Posit

🔗 github.com/bartuyurdacan/vis1

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