New York Real Estate Data Analysis (Course Project
University of Sydney
10.2024 - 11.2024
- Cleaned and pre-processed large-scale property transaction data in R to ensure data integrity and reliability.
- Built multiple linear regression models to identify key drivers of housing prices.
- Applied variable selection techniques (stepwise, backward/forward) to refine models and improve predictive performance.
- Produced an HTML report using R Markdown, effectively communicating findings and investment insights to a non-technical audience.