This article discusses the process of ingesting and cleaning data to train Support Vector and Random Forest regression models on San Diego AirBnB data to predict the nightly price of a listing.
Utilizing GitLab CI, AWS, and Docker, I automated the building, testing, containerization and deployment of a React application to the cloud.
This project compared the effectiveness of six different machine learning techniques in predicting reservoir storage value based off of historical climate and reservoir data. Top models recorded up to 99.8% effectiveness in hindcast reporting.
Confronted with the issue of scamming and malicious activities in online marketplace communities on Discord, my partner and I set out to build a solution. 500+ users and $100k in reported transcations later, we have Vouchify.
