A replication of the German credit score example that appear in Matt Taddy’s “Business Data Science”m Chapter 4 under “Probability, Cost, and Classification.”

This 5-slide presentation explains the working and performance of a lightweight next word prediction app developed in R using Shiny. It covers the model pipeline, app UI, prediction logic using n-grams, and highlights real usage scenarios. The app demonstrates applied NLP techniques and serves as a solid foundation for more advanced predictive typing tools.

Comparison of the Six-factor Model and an Acquiescence Model