Interactive exploration of hyperparameter tuning results with ipywidget and plotly in jupyter notebook.
-
Updated
Mar 24, 2021 - Python
Interactive exploration of hyperparameter tuning results with ipywidget and plotly in jupyter notebook.
"oxayavongsa/projects" is a public GitHub repository serving as a diverse AI/ML Project Portfolio. Using Python coding and Juptyer notebook for multiple methodologies to model statistical algorithms.
This notebook demonstrates an end-to-end, reproducible ML workflow with business-oriented communication: clear EDA, rigorous CV & hyperparameter tuning, interpretable feature importances, visual diagnostics, and an exported pipeline ready for production validation.
Add a description, image, and links to the hyperparameter topic page so that developers can more easily learn about it.
To associate your repository with the hyperparameter topic, visit your repo's landing page and select "manage topics."