GitHub

An end-to-end banking marketing prediction pipeline using SQL for deduplication and feature engineering, and Python (Gradient Boosting/LightGBM) to handle imbalanced data and ...

The dataset used in this project is the Bank Marketing (UCI) dataset, sourced from Kaggle. Dataset Link: https://www.kaggle.com/datasets/henriqueyamahata/bank ...
GitHub

ABurfoot/credit-risk-explainable-ml

The application works out of the box with sample data. Add your own datasets to data/external/ for production use.
IEEE

SHAP-LM: Optimized Music Genre Classification via SHAP-Guided Feature Selection and Lightweight Modeling

Abstract: Music genre classification (MGC) is a fundamental task in music information retrieval, yet existing approaches often suffer from high computational cost, limited generalization, and lack of ...
IEEE

Enhanced Accident Severity Prediction Using LightGBM-CNN Fusion Framework

Abstract: This research presents a novel hybrid approach combining Convolutional Neural Networks (CNN) with Light Gradient Boosting Machine (LightGBM) for traffic accident prediction. The proposed ...