GitHub - LeondraJames/Boston-Housing---Random-Forest-XGBoost: Leveraging regression random forest and XGBoost algorithms with cross validation and grid search to tune the best performing model on the Boston Housing dataset. Analyzed and visualized the most statistically significant features for both models. Achieved an RMSE of $2K

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Leveraging regression random forest and XGBoost algorithms with cross validation and grid search to tune the best performing model on the Boston Housing dataset. Analyzed and visualized the most statistically significant features for both models. Achieved an RMSE of $2K

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Boston Housing Prediction with Random Forest & XGBoost.ipynb		Boston Housing Prediction with Random Forest & XGBoost.ipynb
Boston Housing Prediction with Random Forest & XGBoost.py		Boston Housing Prediction with Random Forest & XGBoost.py