mosquito_predictor

Justin Zwack

A machine learning model that predicts high mosquito abundance at trap sites across Washington, DC using weather, topography, and seasonal features.

Repo: https://github.com/tastyriffs/mosquito_predictor

Demo: https://youtu.be/eD_NcRGj_2o

Python
XGBoost
scikit-learn
Pandas
Rasterio
Folium
Machine Learning

This project uses XGBoost to classify mosquito trap collections as High abundance (≥ 23 females collected) or Low abundance, based on data from DC mosquito trap sites merged with NOAA weather records and LiDAR-derived terrain data.