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Statistics @ UCLA
Our project consists of three main components - an XGBoost machine learning model, a map, and Tableau visualizations. These three components are a powerful set of tools for Chevron stores.
We created a virtual assistant for COVID-19 information for those with visual impairments by using the immense capabilities of speech recognition technology, narration, and deep learning.
This report provides an analysis and visualizations regarding the correlation between geographic, demographic, social, and political trends and COVID-19 cases and deaths.
In order to best gauge which city suits an individual we have created an interactive web application involving data/ML techniques to optimize which cities are most desirable from individual tastes.
