Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
GitHub

xgboost-random-forest

Machine learning classification project for the Kaggle Spaceship Titanic competition. Includes EDA, feature engineering, preprocessing pipelines, Logistic Regression, Random Forest, XGBoost, and model ...
IEEE

Utilizing AI-Powered Anomaly Detection to Counter DDoS Attacks: A Comparative Study of Random Forest and XGBoost Algorithm in Network Protection

Abstract: This research addresses the current challenge of Distributed Denial-of-Service (DDoS) detection by investigating whether ensemble learning methods are able to provide enhanced security ...
IEEE

Hybrid Ensemble Modeling for Customer Churn Prediction: Integrating CatBoost with XGBoost and Random Forest

Abstract: Effectiveness and client lifetime value are in a straight line impacted by customer attrition, which is still a challenge for businesses across all industries. Proper and timely estimation ...