Addressing SOL Pass Rates in Virginia

This project explores SOL (Standards of Learning) pass rates in Virginia using machine learning techniques such as regression and clustering. It includes a Jupyter Notebook file and a final report prepared for a machine learning class at college.

Overview

The analysis aims to understand and predict SOL pass rates based on various factors using machine learning models.

Files

• ML4VA_Final_Report___HoosML.ipynb: Jupyter notebook containing the code and analysis.
• ML4VA_HoosML.pdf: Final report summarizing the findings and methodologies used.

Authors

• Ethan Haller
• Oscar Lauth
• Grant Sweeney