Two presentations :)

Avo Patlong:

As part of my internship at Eagle, I was presented an opportunity to work with the NZTA Crash dataset. My objective was to incorporate machine learning to analyse influential factors and geospatial patterns to predict the risk of a crash occurring at road sections throughout New Zealand. I used Python throughout the project to implement the machine learning scripts, gather data, and implement a feature service that continuously publishes the predictions onto a web map. The web map visualises the heatspots of crash risks, which updates every hour. I would like to talk about the challenges throughout the process and discuss my findings.