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Exploratory Data Analysis project on BitcoinHeist data set.
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shelldweller 6876625dfb nap time. re-read from beginning and start into chunk3/4 text cleanup AFTER nap. 2021-10-20 11:59:26 -06:00
.gitignore Initial Commit 2021-09-19 22:02:16 -06:00
Binary_SOM.R changed instances of "grey" to "bw". Started visualization section of report. Mars needs better graphs! 2021-10-14 23:55:01 -06:00
Categorical_SOM.R changed instances of "grey" to "bw". Started visualization section of report. Mars needs better graphs! 2021-10-14 23:55:01 -06:00
Clusters.R Code is in mostly working state. Need to fix how the categorical data set is generated. Need to celan up and fix some of the images and graphs. THEN, the report can be written. 2021-09-30 01:19:18 -06:00
Clusters_2.R Code is in mostly working state. Need to fix how the categorical data set is generated. Need to celan up and fix some of the images and graphs. THEN, the report can be written. 2021-09-30 01:19:18 -06:00
Data_Prep.R changed instances of "grey" to "bw". Started visualization section of report. Mars needs better graphs! 2021-10-14 23:55:01 -06:00
Detecting_Bitcoin_Ransomware.R The script is complete. The report has all the code from the script, and it compiles. I still need to add the textual parts for chunks 3 and 4. Final step is still the visuals, although I am thinking less is more on that one. 2021-10-20 00:33:26 -06:00
Detecting_Bitcoin_Ransomware.Rmd nap time. re-read from beginning and start into chunk3/4 text cleanup AFTER nap. 2021-10-20 11:59:26 -06:00
Detecting_Bitcoin_Ransomware.pdf nap time. re-read from beginning and start into chunk3/4 text cleanup AFTER nap. 2021-10-20 11:59:26 -06:00
Final_method.R Final script is done. Now just flesh it out into the report. Skip binary SOMs as they are not needed, although it migh be good to include how they were tried and discarded. Keep them in, but at a limited level? Use THIS final version of the script as the template for the report. Include the deveolopment sequence if it fits. 2021-10-18 23:43:36 -06:00
Heirarchical_Clustering.R Self Organizing Maps scripts added 2021-09-27 03:12:00 -06:00
Heirarchical_K-Means_Clustering.R Self Organizing Maps scripts added 2021-09-27 03:12:00 -06:00
K-Means_Clustering.R Self Organizing Maps scripts added 2021-09-27 03:12:00 -06:00
LICENSE Initial commit 2021-09-20 03:58:19 +00:00
Predictions.R Code is in mostly working state. Need to fix how the categorical data set is generated. Need to celan up and fix some of the images and graphs. THEN, the report can be written. 2021-09-30 01:19:18 -06:00
README.md updated Readme.md 2021-10-20 09:08:02 -06:00
RanFor.R changed instances of "grey" to "bw". Started visualization section of report. Mars needs better graphs! 2021-10-14 23:55:01 -06:00
Ransomware-Bitcoin-Addresses.R Code is in mostly working state. Need to fix how the categorical data set is generated. Need to celan up and fix some of the images and graphs. THEN, the report can be written. 2021-09-30 01:19:18 -06:00
Ransomware-Bitcoin-Addresses.Rmd Code is in mostly working state. Need to fix how the categorical data set is generated. Need to celan up and fix some of the images and graphs. THEN, the report can be written. 2021-09-30 01:19:18 -06:00
SOM_test.R Code is in mostly working state. Need to fix how the categorical data set is generated. Need to celan up and fix some of the images and graphs. THEN, the report can be written. 2021-09-30 01:19:18 -06:00
Visuals.R changed instances of "grey" to "bw". Started visualization section of report. Mars needs better graphs! 2021-10-14 23:55:01 -06:00

README.md

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)

  • Detecting_Bitcoin_Ransomware.Rmd (R markdown that generates the report)

  • Detecting_Bitcoin_Ransomware.R (R script that contains the essential code for the modeling process)

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