python Copy Edit scaler = StandardScaler() X_train = scaler.fit_transform(X_train) X_test = scaler.transform(X_test) Standardizes features to have mean 0 and std dev 1 for optimal model performance.

This project demonstrates how to implement simple linear regression from scratch using Python, without relying on libraries like Scikit-Learn. The implementation includes data preprocessing, model ...

The performance of five machine learning algorithms (logistic regression, support vector machine, random forest, XGBoost and CatBoost) was evaluated using accuracy, sensitivity, specificity, positive ...

logistic regression, MLP, and CNN. The integration of hybrid data resampling with a robust stacking ensemble significantly enhanced credit risk prediction, with the proposed approach achieving ...