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 and the regression code refers from Python Data Science Handbook.
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 and the regression code refers from Python Data Science Handbook.