Skip to content
#

catboost

Here are 585 public repositories matching this topic...

This project aims to detect bone fractures using machine learning and neural networks. It utilizes various machine learning models including AdaBoost, CatBoost, Logistic Regression, Random Forest, Support Vector Machine (SVM), XGBoost, Gradient Boosting, and LightGBM and and neural networks.

  • Updated Apr 29, 2024
  • Jupyter Notebook

Exploration and optimization of a ML pipeline, delving into various techniques for enhancing different stages of ML workflows, including data preprocessing, feature engineering, model selection, and hyperparameter tuning.

  • Updated Oct 19, 2024

Improve this page

Add a description, image, and links to the catboost 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 catboost topic, visit your repo's landing page and select "manage topics."

Learn more