Case Study: Housing Price Prediction on Zillow’s Data

Welcome to the final article in our three-part series on leveraging Zillow’s housing data for various analytical and predictive tasks. In the first article, we understood the importance and applications of web scraping along with some tools, such as <a href="https://brightdata.com/?utm_source=brand&utm_campaign=brnd-mkt_content_vidhi-chugh" rel="noopener ugc nofollow" target="_blank">Bright Data</a>’s scraping browser. The second article walked you through various preprocessing steps to clean, filter, and prepare your data for machine learning. In this final post, we will explore, build, and evaluate a predictive model using the preprocessed housing data from Zillow. By the end of this article, you will gain an end-to-end understanding of how to approach a real-world data science project. <a href="https://vidhi-chugh.medium.com/case-study-housing-price-prediction-on-zillows-data-9795294765a8">Learn More</a>