[Machine Learning Nanodegree Capstone Project]
This repository contains the files for my Machine Learning capstone project. The goal of this project was using K-Means clustering algorithms to identify crash patterns across New Jersey municipalities by crash attribute segmentation.
The libraries used in this project are all native to Python 3.8 and indicated in the import statements in each Juypter notebook.
Supporting material is found in the Additional Materials folder which includes all images of component makeup charts, attribute value heatmaps, cluster makeup Excel, raw data before pre-processing, and normalized dataset used to train the PCA and K-means model.