Using a housing dataset from the Boston area, I built a multi-linear regression model in Python with scikit-learn to predict home prices.
This project delves into the Monthly Retail Trade Survey (MRTS) dataset going back to 1992. Using MySQL, I perform an ETL in Python, then run queries for several time series trend analyses.
This web app employs JWT security and cookie placement to deliver dynamic web content. It is hosted on a home server with Flask, NGINX, and Gunicorn.
A data pipeline employing a Flask API, SQLite, and a systemd timer to deliver real-time tide sensor information for the Hampton Roads area.
