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In this project, XGBoost is applied to forecast real estate prices using the Boston Housing Dataset. The primary aim is to create an effective predictive model, assess its accuracy through metrics like Mean Absolute Error (MAE), and refine its performance by tuning hyperparameters with HYPEROPT.

Home Page: https://www.kaggle.com/code/wasswassss/xgboost-on-home-data/notebook

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boston-housing-price-prediction data-science hypertuning kaggle kaggle-dataset machine-learning machine-learning-algorithms xgboost xgboost-model xgboost-regression

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