Analysis-of-Real-Estate-Markets-of-Armenia
Sevak-Grigoryan/Analysis-of-Real-Estate-Markets-of-Armenia
A data-driven exploration of Yerevan’s real estate market using scraped public listings, thorough data cleaning, and exploratory data analysis to uncover patterns and trends for local housing insights.
real-estate-analysisdata-science-pipelineweb-scrapingexploratory-data-analysismachine-learningregression-modelarmenia
Summary
This project is a data science pipeline analyzing Yerevan's real estate market. It includes web scraping of Armenian property listings, data cleaning and preprocessing of over 4,000 listings, exploratory data analysis to identify market trends, and a machine learning regression model for price prediction (achieving an R² of ~0.77). The repository is structured with separate directories for data, notebooks, and source code.