5-slide pitch to accompany and explain the Next-Word-Predictor Shiny App. This presentation is part of the final project for the Johns Hopkins Data Science Specialization.

This is a report to update others on my progress in the Capstone course for the Johns Hopkins Data Science Specialization. I share my exploratory analysis as well as key learnings and ideas on next steps I plan to take on the predictive text project.

This is a presentation generated using R Markdown that serves as the pitch for the Diamond Price Finder application made using the shiny package. The pitch and the app served as my final course submissions for the Coursera Developing Data Products course.

Web presentation with interactive plot created using R Markdown and the R package, "plotly". This presentation serves as my submission for the Week 3 Programming Assignment for the Johns Hopkins/Coursera Developing Data Products course.

Peer-graded assignment for Week 2 of Coursera Developing Data Products course. A Leaflet map with hyperlinked popups of 10 tourist sites in the city of St. Louis.

End of course project was to explore and develop a predictive model to generate predictions of how exercises were performed using supplied data from various sensors worn by 6 subjects performing dumbbell exercises in 5 prescribed manners.

Peer Graded assignment for Coursera Regression Models Course.

Project serves as the final peer-graded project to demonstrate mastery of topics covered in the Coursera/Johns Hopkins Inferential Statistics Course.

This is a peer graded assignment for Project 2 of the Coursera Reproducible Research course.