A natural language processing (NLP) app that allows the user to type words/phrases, then seeks to (1) predict the next word and (2) if applicable, autocomplete an unfinished word

This report summarizes progress of the text/word prediction application.

A brief summary on the portfolio optimization application available at: https://herget.shinyapps.io/portOptimization/

Demonstrating route map creation my mapping 3 generations of family relocation.

Locations of California-based minor league baseball teams

The Human Activity Recognition (HAR) project collected exercise data, focusing on the quality of exercise related to specific motion types. A more detailed explanation of the data collection process and project overview can be found at the HAR website (http://groupware.les.inf.puc-rio.br/har). We set to predict the "classe" variable, which assigns one of five letter grades to the exercise - "A" (the best), B, C, D and "E" (the worst). This report outlines the process in building the model we use to predict "classe". This project develops and employs a random forest model in predicting quality rating of exercise repetition.