A machine learning project for classifying bearing faults using the CWRU dataset, with models built using Python and various ML techniques such as cross-validation, PCA, tSNE, SVM, XGBoost.
svm cross-validation feature-extraction xgboost pca knn tsne time-domain frequency-domain bearing-fault-diagnosis case-western-reserve-university
-
Updated
Sep 11, 2024 - Jupyter Notebook