This report describes a Random Forest model used to predict how participants performed weight-lifting exercises using accelerometer data. The model achieved high accuracy on the validation set and predictions for 20 test cases are included

This milestone report presents a concise exploratory analysis of text datasets (blogs, news, and Twitter) for building a word prediction model. It includes summary statistics, initial findings, and plans for developing a predictive text Shiny application.