Exploratory Data Analysis project on BitcoinHeist data set.

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Ransomware Detection on the Bitcoin Blockchain

using Random Forests and Self Organizing Maps

Final submission form CYO project at HarvardX PH125.9x Capstone Course

Machine learning project on BitcoinHeist data set.

Most of these files are exploratory scripts that helped to develop the final script.

The main three files that can be considered the final project are:

Detecting_Bitcoin_Ransomware.pdf (Final report) https://git.disroot.org/shelldweller
Detecting_Bitcoin_Ransomware.Rmd (R markdown that generates the report) https://git.disroot.org/shelldweller
Detecting_Bitcoin_Ransomware.R (R script that contains the essential code for the modeling process) https://git.disroot.org/shelldweller

fix links later

Everything else can be safely ignored, and is just here so that I can trace my own steps if needed.