Course Title: Statistical and Data Mining Methods for Urban Data Analysis
Course Numbers: MUSA 5000 / CPLN 6710
Instructor: Eugene Brusilovskiy
School: Weitzman School of Design, University of Pennsylvania
Term: Spring 2025
Student Team completed the work: Zhanchao Yang, Haoyu Zhu, Kavana Raju
This repository showcases assignments and projects completed for MUSA 5000/CPLN 6710, focusing on statistical and data mining methodologies applied to urban data analysis. The course covers various analytical techniques essential for understanding urban phenomena through data-driven approaches.
The assignments in this showcase cover key statistical and data mining methods, including:
- OLS Regression Analysis
- Spatial Correlation and Regression
- Logistic Regression Applications
- Point Pattern Analysis
- K-Means Clustering
- Text Mining and Analysis
Visit the live showcase website to explore the complete collection of assignments and their methodologies.