In recent years, with the public availability of AI tools, more people have become aware of how closely the inner workings of ...

Detecting botnet threats has been an ongoing research endeavor. Machine Learning (ML) techniques have been widely used for botnet detection with flow-based features. The prime challenges with ...

Sparse matrix regression (SMR) is a two-dimensional supervised feature selection method that can directly select the features on matrix data. It uses several couples of left and right regression ...

Data Science & Machine Learning Personal Projects This repository contains a collection of Jupyter Notebooks showcasing implementations and explorations of fundamental topics in data science, machine ...

The final predictions are the sum of the raw linear predictions and the residuals modeled by the Random Forest. Linear Boosting is a two stage learning process. Firstly, a linear model is trained on ...