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Predictive Machine Failure Using Multiclass Classification with Deep Learning
- The dataset consists of various features related to machine performance and failure types.
- Class distribution is checked to handle class imbalance.
- Data is preprocessed by normalizing features and splitting into training, validation, and test sets.
- A neural network model is defined and trained using Keras.
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