/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

Primary LanguageJupyter Notebook

This repository is not active