Welcome to the Data Structures and Algorithms Repository! My aim for this project is to serve as a comprehensive collection of problems and solutions implemented in Python, aimed at mastering ...

Learn how the Adagrad optimization algorithm works and see how to implement it step by step in pure Python — perfect for beginners in machine learning! #Adagrad #MachineLearning #PythonCoding ...

Miloud Aouidate, A. and Baba Ali, A.R. (2013) IDS False Alarm Reduction Using an Instance Selection KNN Memetic Algorithm. International Journal of Metaheuristics, 2, No. 4.

A new cybersecurity campaign has exposed 67 trojanized GitHub repositories, targeting gamers and developers with malicious Python tools.

In [10], support vector machine (SVM) and K-nearest neighbors (KNN) algorithms were used to detect brain lesions. SVM was also used in a microwave-based stroke detection system to determine the lesion ...

The K-Nearest Neighbors (kNN) algorithm, a cornerstone of supervised learning, relies on similarity measures constrained by real-number-based distance metrics. A critical limitation of traditional kNN ...

The research method focuses on developing Machine Learning algorithms, precisely the K-Nearest Neighbors (KNN) algorithm, to predict learning outcomes, applying Adaptive Learning to suggest ...

This package implements python bindings for the ORbit Counting Algorithm. The original source code was modified to avoid memory leaks upon repeated function calls and allow for parallel orbit counting ...