This project explores ML techniques across classification and regression. It includes penguin species classification, breast cancer prediction, and baseball performance prediction using regularization. After, I will develop an XGBoost model for hotel cancellation prediction, analyzing key booking factors and optimizing performance. (In Progress)
python neural-network cross-validation lasso xgboost classification fall-detection gridsearchcv decisiontreeclassifier gridsearch sklearn-tree regularization-hyperparameters regularization-to-avoid-overfitting multipleline
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Updated
Feb 23, 2026