GitHub

rskworld/fraud-detection-ml

Advanced fraud detection system using machine learning to identify fraudulent transactions and activities. This project implements multiple machine learning algorithms including Random Forest, XGBoost ...
IEEE

Early Prediction of Parkinson’s Disease Using XGBoost on Multidimensional Clinical and Voice Biomarkers

Abstract: Parkinson’s disease (PD) is a progressive neurological disorder that significantly impairs a patient' quality of life. To effectively manage symptoms and slow the progression of the disease, ...
GitHub

Failed running demo/guide-python/external_memory.py built from main

Hi, I'm trying to use ExtMemQuantileDMatrix for training huge dateset on gpus. For example, training 1Tb raw fp32 dataset on 4/8xRTX 4090 (24G) + 2/4Tb memory (which is sufficent for the same dataset ...
IEEE

A Hybrid Machine Learning Framework for Daily Dairy Demand Forecasting: Integrating SARIMAX and XGBoost for Seasonal Production Optimization

Abstract: Accurate demand forecasting is a critical requirement in the dairy industry, where fluctuations in consumption, seasonal effects, and product perishability create significant operational ...