Breast Cancer Classification with Convolutional Neural Nets

Capstone Project for General Assembly Data Science Immersive

Project 4: West Nile Prevention Spray Analysis

Summary : This was a group project that presented many opportunities to engineer features and try out different visualizations and models. Bokeh was used for visualizing map data, and the XGBoost library was used for the models. There were additional considerations to be made due to the unbalanced classes, geospatial data, and missing data. Objective: Help the City of Chicago combat West Nile Virus spread by analyzing weather, previous spraying efforts, and mosquito trap data.