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.

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

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 ...

One of the key issues faced by financial institutions is the prediction of loan default. Two machine learning methods, Random Forest and K-Nearest Neighbors (KNN), are tested in this study, using an ...