GitHub / Osamaz123 / Maintainance-cost-reduction-through-through-predictive-techniques-using-ml
Machine Learning model on highly imbalanced dataset for preventive maintenance by identifying potential failures before they occur, thereby reducing downtime and maintenance costs.
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PURL: pkg:github/Osamaz123/Maintainance-cost-reduction-through-through-predictive-techniques-using-ml
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 4.94 MB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: auc-roc-curve, exploratory-data-analysis, feature-engineering, hyperparameter-tuning, random-forest, randomizedsearchcv, sklearn-metrics, smote, xgboost