The K-Nearest Neighbors (KNN) algorithm is a supervised learning method used for classification and regression. It classifies a data point based on the majority class of its K nearest neighbors (using ...

A data mining course competition platform for designing recommendation algorithms that maximize revenue through multi-iteration learning. - staphoja/knn_jackstapholz ...

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

Note: This is just a small subset of all of the python projects I've created. The one showcased are much more entertaining to look at have some graphical component to them. LINKS: Hangman: <a href=" ...

Attackers use typo-squatting, obfuscation, and fake accounts to slip Python-based malware into open-source projects, raising ...

Moreover, the randomness of k-value selection in k-nearest neighbour (KNN) leads to some limitations in the prediction performance of intelligent transportation prediction. To address these challenges ...