GitHub / Harshraj1301 / Meijer---Real-Estate-Predictive-Model
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
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PURL: pkg:github/Harshraj1301/Meijer---Real-Estate-Predictive-Model
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 69.5 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: azure-api, geocode-api, google-maps-api, gridsearchcv, overpass-api, powerbi, recurrent-feature, recursive-feature-elimination, sentiment-analysis, serpapi, web-scraping, xgboost-regression