Predicting_real_estate_prices_using_scikit-learn

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

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162 Stars

52 Forks

162 Watchers

Python Language

Cost to Build

$54.5K

Market Value

$130.6K

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Growth over time

7 data points · 2021-08-01 → 2025-03-01

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What is the MBKraus/Predicting_real_estate_prices_using_scikit-learn GitHub project? Description: "Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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