This repository contains the code and documentation of my work during this capstone project.
It is the end part of the Data Science Specialization on Coursera by the Johns Hopkins University.
See the Detailed Documentation section for in depth information on my work.
This report was written after a few days looking at the project. It describes the first initial phases:
- Data Retrieval and Cleaning
- Exploratory Analysis
- Thoughts for a prediction model
See documentation here
A data product hosted on shinyapps.io was created to showcase my predictive model.
See the data product here
This slide deck pitch my data product. It is meant for a non-technical audience.
It is constrained to be 5 slides or less and should:
- show off the app and how it works,
- explain how my model works,
- describe its predictive performance quantitatively.
See the slide deck here
Note that this document was not required but I felt it would bring more credit to my work.
See detailed documentation here