Project Title: Used Car Price Prediction Using XGBoost and SHAP Description This project implements a machine learning model to predict the prices of used cars based on various features such as ...

horacemtb changed the title Develop a range of ML models such as LR, SVM, XGBoost, LightGBM, ANN and estimate their performance on nested cross-validation in terms of metrics and run times Develop a ...

This chapter uses several available Python packages to build predictive models using the ensemble algorithms. It demonstrates ensemble methods available as XGBoost, Python sklearn, and PySpark ...

Abstract: Information Retrieval (IR), Machine Learning (ML), and Deep Learning (DL) have become mainstream methods for traceability link recovery. However, IR-based methods face the challenge of low ...