ML model predicting gold recovery efficiency from ore processing parameters for cost-effective mining operations
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Feb 3, 2026 - HTML
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industrial-ml
Here are 6 public repositories matching this topic...
Unsupervised anomaly detection on 3-year multivariate sensor data from a cyclone preheater using Python. Detected 437 abnormal timestamps using Isolation Forest, One-Class SVM, and Z-score filtering. Includes visual timeline, anomaly impact summary, and Excel highlights.
visualization python scikit-learn manufacturing matplotlib unsupervised-learning data-cleaning anomaly-detection process-monitoring fault-detection multivariate-time-series scikit-learn-pipelines industrial-ml cyclone-preheater
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Aug 1, 2025 - Jupyter Notebook
Aerospace turbine blade lifespan prediction from manufacturing parameters and alloy composition. Two ML pipelines: regression achieving R² = 0.984 (Gradient Boosting) and binary classification at 94.5% accuracy (CatBoost). Includes Agglomerative Clustering to validate the maintenance threshold.
python machine-learning random-forest svm scikit-learn aerospace jupyter-notebook regression classification manufacturing hyperparameter-tuning gradient-boosting agglomerative-clustering predictive-maintenance catboost gridsearchcv industrial-ml
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Mar 6, 2026 - Jupyter Notebook
Cost-sensitive neural network model for predictive maintenance and early failure detection in wind turbine operations.
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Jan 29, 2026 - Jupyter Notebook
A full-stack ML system that predicts silica concentrate quality failures in an iron ore flotation plant hours before they happen, featuring XGBoost, Neural Networks, and a live Streamlit dashboard.
data-science machine-learning quality-control neural-network tensorflow scikit-learn plotly jupyter-notebook python3 mining xgboost predictive-modeling keras-tensorflow real-time-monitoring streamlit predictive-analytics-for-business industrial-ml
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Mar 1, 2026 - Python
ML model predicting steel temperatures for energy optimization in metallurgical plants using regression analysis
python data-science machine-learning random-forest scikit-learn regression data-science-portfolio energy-optimization industrial-ml
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Apr 1, 2026 - HTML
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