The project aims to accurately predict the Zillow home value index of missing values in the dataset using Ridge Regression. The model is evaluated on the basis of various metrics like R2 score, root mean squared error, mean absolute percentage error and bias. This mini project was a part of CIVE 7100 course at Northeastern University.
Extensive house price predicting model for the famous Zillow housing dataset.
Zillow scraper built with Python and Selenium to extract property listings, rental data, prices, home details, and agent information. Automates real estate data collection into structured JSON/CSV for analysis, investment research, and market insights.
This library scrapes zillow property website
Exploring the Zillow Research datasets with dbt Cloud and Athena
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