Extensive Features Engineering and with and without Oversampling. Prediction of Multi-Failure Modes using Decision Tree, Neural Network MLP and ensemble methods such as Random Forest, XGBoost
Extensive Features Engineering and with and without Oversampling. Prediction of Multi-Failure Modes using Decision Tree, Neural Network MLP and ensemble methods such as Random Forest, XGBoost
Repository from Github https://github.comsilwindo/Milling-Machine-Failure-Prediction
Extensive Features Engineering and with and without Oversampling. Prediction of Multi-Failure Modes using Decision Tree, Neural Network MLP and ensemble methods such as Random Forest, XGBoost
Extensive Features Engineering and with and without Oversampling. Prediction of Multi-Failure Modes using Decision Tree, Neural Network MLP and ensemble methods such as Random Forest, XGBoost