Github repo:here

This project will explore the data from the Iowa Gambling task using unsupervised learning algorithms. The data used for this project can be found here. The resulting online jupyter book can be found here and the pdf version here

• General Info
• Requirements
• Usage
• Project Status
• Room for Improvement

• This project aims to explore unsupervised learning techniques
• It will also provide experience using jupyter notebooks, git, markdown, and clustering analysis

• python
• pandas
• matplotlib
• jupyter-book
• numpy
• scipy
• sklearn
• array
• pyppeteer

To build the book - ensure all requirements have been imported to the appropriate environment and then enter the following commands

jupyter-book build ca4015_assignment_1/

then followed by

ghp-import -n -p -f ca4015_assignment_1/_build/html

This will build the online book in a seperate gh-pages branch

To build a pdf of this book, ensure all requirements are installed and then enter the following command:

jupyter-book build ca4015_assignment_1/ --builder pdfhtml

Project is: completed

I would like to further investigate this data set and my methods around k-means clustering. I would like to gain some further insights around trends for healthy individuals vs those with prefrontal cortex health issues. As this was my first project using k-means I would like to delve further into its uses, and any limitations it may have as an unsupervised learning algorithm