Skip to content
#

xgboost-algorithm

Here are 44 public repositories matching this topic...

awesome-gradient-boosting-papers

Designed web app employs the Streamlit Python library for frontend design and communicates with backend ML models to predict the probability of diseases. It's capable of predicting whether someone has Diabetes, Heart issues, Parkinson's, Liver conditions, Hepatitis, Jaundice, and more based on the provided symptoms, medical history, and results.

  • Updated Jan 6, 2025
  • Python

The discovery of new, drug-like molecules is critical yet costly. NovelMol aims to accelerate early-stage drug discovery using deep generative models and predictive machine learning, with applications in: Cancer and neurodegenerative disease therapeutics.

  • Updated Jul 22, 2025
  • Python

Agri AI is an advanced precision agriculture platform designed to aid farmers and agricultural enthusiasts in making more informed decisions regarding crop management, pest control, and yield prediction. At its core, the platform utilizes sophisticated machine learning algorithms, specifically the Random Forest and XGBoost models, to analyze data

  • Updated Jul 11, 2023
  • Python

Improve this page

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

Learn more