- Built ML model to predict failure and failure type for rotating machine based on process data and machine specification.
- Performed data cleaning, feature engineering to prepare it for classification machine learning application.
- The imbalanced dataset is solved through the usage of Undersampling (NearMiss) and Oversampling (SMOTE).
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