IEEE

Optimization Study of KNN Classification Algorithm on Large-Scale Datasets: Real-Time Optimization Strategy Based on Balanced KD Tree and Multi-threaded Parallel Computing

Abstract: The K-Nearest Neighbors (KNN) algorithm is a classical supervised learning method widely used in classification and regression problems. However, the KNN algorithm faces serious challenges ...
Hosted on MSN

Make Python scripts smarter with regex: 5 practical RE examples

If you work with strings in your Python scripts and you're writing obscure logic to process them, then you need to look into regex in Python. It lets you describe patterns instead of writing ...
GitHub

The search-extract-summarize flow

Of course this flow is a very simplified version of the real AI search engines, but it is a good starting point to understand the basic concepts. One benefit is that we can manipulate the search ...
IEEE

A Comparison of Accuracy: KNN, TabNet, and Wide & Deep Learning for DDoS Attack Detection in Software Defined Network

Abstract: This study focuses on comparing the performance of K-Nearest Neighbors (KNN), TabNet, and Wide & deep learning methods in classifying Distributed Denial of Service (DDoS) attacks on Software ...
GitHub

A collection of simple python mini projects to enhance your Python skills.

Select an issue and ask to be assigned to it. Check existing scripts in the projects directory. Star this repository. On the python-mini-projects repo page, click the Fork button. Clone your forked ...