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 ...

These important findings stand out from other similar studies via some convincing demonstration of behavioural and neural relationships between two helping tasks – one focusing more on social ...

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 ...

PASSer (Rank, AutoML, and Ensemble) was run by automating the submission using its API. APOP and Ohm were installed and run locally from the source code to automate the process instead of manually ...