This presentation showcases a predictive text model built using n-grams and a backoff strategy, evaluated on a subset of the SwiftKey dataset. The app, developed in R with Shiny, leverages Unigram to Fivegram models to deliver real-time next-word predictions.

This document highlights key features of the data, initial findings, and outlines a preliminary plan for developing the prediction algorithm and Shiny app.

Reproducible Pitch Presentation

This presentation features a 3D scatter plot with a linear regression plane created with Plotly.

This map features an icon along with a popup.

This analysis examines severe weather events recorded in the NOAA Storm Database to determine which types of events are most harmful to population health and have the greatest economic consequences.