Actualités

IEEE7 mois
Optimization of XGBoost Algorithm for Road Traffic Flow Regression Prediction Based on Four-Vector Algorithm
Abstract: This paper aims to optimize the traditional XGBoost regression model by using the four-vector algorithm, so as to achieve the accurate prediction of road traffic flow. The main objective of ...
IEEE7 mois
Optimization of XGBoost Algorithm for Road Traffic Flow Regression Prediction Based on Four-Vector Algorithm | IEEE Conference Publication | IEEE Xplore
Abstract: This paper aims to optimize the traditional XGBoost regression model by using the four-vector algorithm, so as to achieve the accurate prediction of road traffic flow. The main objective of ...
GitHub3 a
Comparing results of using deep learning algorithm, LSTMs, for a regression problem versus simple Neural Networks and ensemble algorithms like Random Forest and XGBoost
Sample code for comparing different regression algorithms for this problem is given in github – The code follows the standard data science steps (load, wrangle, encode, scale, train/test split, train, ...
GitHub8 mois
House-Prices---Advanced-Regression-Techniques - GitHub
The workflow included data preprocessing, feature engineering, and the application of multiple regression algorithms, such as: Linear Regression Random Forest Regressor XGBoost Regressor Ridge ...