Skip to content
#

boosting

Here are 340 public repositories matching this topic...

Predicting Colorado forest cover types using diverse ML models for classification. Baseline creation, feature selection, comparison, and tuning optimize accuracy in this University of Ottawa Master's Machine Learning course final project (2023).

  • Updated Jan 12, 2024
  • Jupyter Notebook

This repository is associated with interpretable/explainable ML model for liquefaction potential assessment of soils. This model is developed using XGBoost and SHAP.

  • Updated Mar 28, 2024
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the boosting topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the boosting topic, visit your repo's landing page and select "manage topics."

Learn more