rental_market_yerevan_project
matteoventura83/rental_market_yerevan_project
This project analyzes the rental market in Yerevan, Armenia, focusing on three main aspects: (1) identifying which discrete variables influence rental prices, (2) examining correlations between price, number of rooms, and rental duration, and (3) evaluating whether the address is a reliable predictor of rental price.
Summary
This is a data mining project analyzing Yerevan's rental market using Python and Jupyter Notebook. It cleans and analyzes two datasets to identify factors influencing rental prices, focusing on discrete variables, correlations, and address as a predictor. The project includes data preprocessing, feature engineering, and regression analysis using libraries like pandas, scikit-learn, and seaborn.