# 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.

https://archive.ics.uci.edu/ml/datasets/BitcoinHeistRansomwareAddressDataset


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](https://git.disroot.org/shelldweller)

 - Detecting_Bitcoin_Ransomware.Rmd  (R markdown that generates the report)
[https://git.disroot.org/shelldweller](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](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.

