💪 Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

🌌 The R easystats-project

📜 🎉 Automated reporting of objects in R

🔮 Easy access to model information for various model objects

📒 The MLOps stack component for experiment tracking (R interface)

App: Future precipitation in every country of the world based on different CO2 emission scenarios and CMIP5 models.

Build and Tune Several Models

CAVAanalytics is a comprehensive framework for climate data analysis, offering streamlined access to data, advanced processing and visualization capabilities. It is designed to support a wide range of climate research and user needs

Intrusion Detection Learning adapted from http://kdd.ics.uci.edu/databases/kddcup99/task.html

BAM Landbird Models

Visualisation for statistical models.

UP: Universal Prediction distribution for surrogate models

An R-toolkit for model evaluation, model comparison and hyperparameter tuning based on cross-validation

An updated version of the DDRP platform (from v2) that uses newer R packages ("terra" and "sf"). The objective of the Degree-Day, establishment Risk, and Pest event mapping system (DDRP) is to predict phenology and climate suitability of invasive, biocontrol, and IPM species for the conterminous United States.

AquaCropPlotter is an R Shiny app for processing and visualizing FAO AquaCrop model output files.

Model ensemble for third-party lucky series, such GSClassifier

These are coding projects I worked on during my 2024 Fall Semester. Each of these was ranked either in the 18pt or 20pt benchmark.

Re-analysis of Friedman et al., (2021) data about consonance in Bohlen-Pierce dyads/triads