GitHub

LaurensSluyterman/XGBoost_quantile_regression

This repository contains a demonstration how multiple quantiles can be predicted simultaneously with XGBoost. The key idea is to use a smooth approximation of the pinball loss, the arctan pinball loss ...
GitHub

tirthajyoti/Machine-Learning-with-Python

Jupyter notebooks covering a wide range of functions and operations on the topics of NumPy, Pandans, Seaborn, Matplotlib etc. Decision trees and Random Forest Classification (Here is the Notebook) ...
IEEE

Student Performance Prediction Using XGBoost Method from A Macro Perspective

Abstract: Student performance prediction has attracted more and more attention in the educational data mining field in recent years. An accurate and useful forecast on student performance can play a ...
IEEE

Machine Learning Model for Sales Forecasting by Using XGBoost

Abstract: For modern retail corporations operating a huge chain of businesses, exact sales predication is the key in driving corporations development, even success or failure. Sales forecasting allows ...