Predictive-maintenance-with-machine-learning and predictive-maintenance-ML

These are competitors offering different implementations of the same predictive maintenance classification task—one uses a general ML approach while the other specifically employs Random Forest for binary failure prediction—so a user would select based on their preferred algorithm and codebase quality rather than using both together.

Maintenance 0/25
Adoption 9/25
Maturity 16/25
Community 18/25
Maintenance 0/25
Adoption 6/25
Maturity 9/25
Community 16/25
Stars: 72
Forks: 15
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 24
Forks: 6
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: Apache-2.0
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Predictive-maintenance-with-machine-learning

Yi-Chen-Lin2019/Predictive-maintenance-with-machine-learning

This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.

About predictive-maintenance-ML

RushikeshKothawade07/predictive-maintenance-ML

The project is a machine predictive maintenance application that uses machine learning (Random Forest) to classify whether a machine will experience failure or not based on various input parameters.

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