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.
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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.