End-to-end predictive maintenance project on the AI4I 2020 dataset. Includes feature engineering, calibrated logistic regression and random forest pipelines, with attention to class imbalance and operating-point evaluation (PR-AUC, recall @ 90% precision).
python machine-learning scikit-learn jupyter-notebook feature-engineering imbalanced-data predictive-maintenance precision-recall industrial-analytics ai4i
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Updated
Oct 20, 2025 - Jupyter Notebook