Analysis-of-Real-Estate-Markets-in-Yerevan-Armenia
Yana-Stepanyan/Analysis-of-Real-Estate-Markets-in-Yerevan-Armenia
This project analyzes Yerevan real estate data by scraping listings, cleaning and preparing datasets, performing exploratory analysis, and building a machine learning model to predict apartment prices. The aim is to identify factors influencing prices and create a reproducible pipeline for prediction and market analysis.
Summary
A complete data science pipeline project analyzing Yerevan's real estate market. It includes web scraping to collect data from Armenian property listing sites, data cleaning and preprocessing, exploratory data analysis, and building a machine learning model to predict apartment prices. The project demonstrates a practical, end-to-end workflow for a locally relevant problem.