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Brandon-Martinez27 / zillow_regression_project

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Using Polynomial Regression, I created a model that would predict the log error for the Zillow zestimates. In my analysis with a partner, we gathered data using SQL, and cleaned the data using pandas to include common single unit properties purchased from May-June 2017. We explored the distribution of tax rates by county among other key features…

machine-learning zillow regression regression-analysis
  • Updated Oct 8, 2020
  • Jupyter Notebook

Tobiny / real-estate-prediction-system

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Professional real estate AI prediction system with 61% accuracy (R²) using neural networks trained on 3.9M Zillow transactions. Production-ready FastAPI with rate limiting, beautiful web interface, and 82 engineered features. Perfect for investment analysis, portfolio optimization, and algorithmic trading strategies.

real-estate python api data-science machine-learning ai tensorflow zillow prediction render fintech neural-networks xgboost lightgbm investment fastapi
  • Updated Jul 28, 2025
  • Python

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