GitHub / MBKraus / 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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PURL: pkg:github/MBKraus/Predicting_real_estate_prices_using_scikit-learn
Stars: 142
Forks: 51
Open issues: 0
License: None
Language: Python
Size: 870 KB
Dependencies parsed at: Pending
Created at: over 7 years ago
Updated at: over 1 year ago
Pushed at: about 6 years ago
Last synced at: over 1 year ago
Topics: amsterdam, decision-trees, ensemble-learning, knn, knn-regression, lasso, lasso-regression, machine-learning, mlp-regressor, multi-layer-perceptron, neural-network, ols, polynomial, polynomial-regression, predicting-housing-prices, python, random-forest, real-estate, ridge-regression, xgboost