Predictive Maintenance Modeling

Modelling data via data science principles to predict machine failure and useful life
Explore the docs »

View Demo · Report Bug · Request Feature

Table of Contents

1. About The Project
2. Getting Started
   • Prerequisites
   • Installation
3. License
4. Contact
5. Acknowledgments

About The Project

This project is about creating models for predictive maintenance based on data science principles using freely available data.

(back to top)

Getting Started

1. Clone the repository
2. Create the Python environment using the requirements file
3. Run the notebook(s)

(back to top)

Prerequisites

See the requirements file for the necessary Python packages.

(back to top)

License

Distributed under the MIT License. See LICENSE.txt for more information.

(back to top)

Contact

Hristo Goumnerov - hgoumner@protonmail.com

Osveh Jeddinia -

Mohammed -

Project Link: https://github.com/hgoumner/WBS_Predictive_Maintenance

(back to top)

Acknowledgments

• Pandas
• Scikit-learn
• Streamlit

(back to top)