Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep ...

Abstract: To address the issue of genetic algorithm (GA) performance heavily relying on parameter selection, this paper introduces a double-layer loop adaptive parameter tuning mechanism. This ...

This project focuses on detecting cyber attacks using machine learning techniques. It employs various algorithms to analyze network traffic and identify potential threats in real-time.

Abstract: Genetic algorithm has significant implications for solving the famous NP-hard optimization problem, traveling salesman problem (TSP). The purpose of this study is to combine the edge ...