R Markdown output for my final project in STT333 on Bayesian Analysis.

This report presents a summary of the initial steps in developing a text prediction model using n-grams. It includes data loading, cleaning, tokenization, and a strategy for building a Shiny app.

Next Word Predictor Application

"Less word, More impact"