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Akashborse3/Gear-Box-Fault-Diagnosis-Using-Machine-Learning-and-Deep-Learning

Designed and implemented machine learning and deep learning models to diagnose gearbox faults. Preprocessed sensor data, engineered features, and trained models using techniques like SVM, random forests, LSTM and naive bias. Evaluated model performance and optimized hyperparameters to achieve high diagnostic accuracy.

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Created June 25, 2024
Updated November 11, 2025
Akashborse3/Gear-Box-Fault-Diagnosis-Using-Machine-Learning-and-Deep-Learning | GitHunt