Developed a predictive real estate model leveraging XG Boost Regressor, integrating web-scraped market data with existing datasets to forecast daily store visits, achieving a MAPE of 13.3%, enabling strategic retail location decisions
sentiment-analysis web-scraping overpass-api google-maps-api powerbi azure-api gridsearchcv recursive-feature-elimination geocode-api xgboost-regression serpapi recurrent-feature
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Updated
May 28, 2024 - Jupyter Notebook