IEEE

Influence-Balanced XGBoost: Improving XGBoost for Imbalanced Data Using Influence Functions

Abstract: Decision tree boosting algorithms, such as XGBoost, have demonstrated superior predictive performance on tabular data for supervised learning compared to neural networks. However, recent ...
PC Tech Magazine

Best machine learning development companies for time series forecasting (2026)

The seven companies listed here cover the realistic range of what a buyer will encounter in 2026: embedded ML teams that own ...
GitHub

The Python Control Systems Library is a Python module that implements basic operations for analysis and design of feedback control systems.

Try out the examples in the examples folder using the binder service. The package can also be installed on Google Colab using the commands: The easiest way to get started with the Control Systems ...
GitHub

A collection of simple python mini projects to enhance your Python skills.

Select an issue and ask to be assigned to it. Check existing scripts in the projects directory. Star this repository. On the python-mini-projects repo page, click the Fork button. Clone your forked ...
IEEE

XGBoost Regression of the Most Significant Photoplethysmogram Features for Assessing Vascular Aging

Abstract: The purpose of this study was to confirm the potential of XGBoost as a vascular aging assessment model based on the photoplethysmogram (PPG) features suggested in previous studies, and to ...