silwindo / 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

Repository from Github https://github.comsilwindo/Milling-Machine-Failure-PredictionRepository from Github https://github.comsilwindo/Milling-Machine-Failure-Prediction

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

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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


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