https://github.com/kenthsu/manufacturing-process-modeling

Gaussian function basis regression overfitting location prediction
https://github.com/kenthsu/manufacturing-process-modeling

gaussian-basis-function machine-learning overfitting regression-models streamlit

Last synced: about 1 month ago
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Gaussian function basis regression overfitting location prediction

• Host: GitHub
• URL: https://github.com/kenthsu/manufacturing-process-modeling
• Owner: KentHsu
• Created: 2021-02-13T04:00:44.000Z (over 5 years ago)
• Default Branch: main
• Last Pushed: 2021-03-01T04:34:26.000Z (over 5 years ago)
• Last Synced: 2025-01-22T05:42:56.500Z (over 1 year ago)
• Topics: gaussian-basis-function, machine-learning, overfitting, regression-models, streamlit
• Language: Python
• Homepage:
• Size: 121 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# Manufacturing-Process-Modeling

This repository simulates a real world process phenomenon with Gaussian regression and explore overfitting solution by L1/L2 regularization.

The application is built with [Streamlit](https://www.streamlit.io/) and the regression code refers from [Python Data Science Handbook](https://jakevdp.github.io/PythonDataScienceHandbook/index.html).

![alt text](https://github.com/KentHsu/Manufacturing-Process-Modeling/blob/main/Streamlit-App.jpg)