GitHub / Harsha2k3 / predictive_maintenance_ML_Project
This project utilizes advanced data analysis and machine learning techniques to predict equipment failures before they occur. The goal is to detect anomalies and possible defects in equipment and processes to enable preemptive maintenance, thereby reducing downtime and costs.
Stars: 0
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 10.4 MB
Dependencies parsed at: Pending
Created at: 10 months ago
Updated at: 3 days ago
Pushed at: 3 days ago
Last synced at: 3 days ago
Topics: catboost-classifier, counterfactuals, data-analysis, data-science, explainable-ai, flask, industry4-0, lime, machine-learning, python3, smote-oversampler, stratified-k-fold