Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

Abstract: this study introduces a novel approach employing the K-nearest neighbor (KNN) algorithm for designing a planar microwave filter. It explores the application of supervised machine learning ...

Learn the Adagrad optimization algorithm, how it works, and how to implement it from scratch in Python for machine learning models. #Adagrad #Optimization #Python Trump administration looking to sell ...

ABSTRACT: To ensure the efficient operation and timely maintenance of wind turbines, thereby enhancing energy security, it is critical to monitor the operational status of wind turbines and promptly ...

Abstract: The purpose of this study is to predict obesity using KNN algorithm compared with Random Forest algorithm. This research paper focuses on the creation of a novel method for obesity ...

This project demonstrates how to implement the K-Nearest Neighbors (KNN) algorithm for classification on a customer dataset. The program iterates through different values of k (number of neighbors) ...

This repository contains the code for a K-Nearest Neighbors (KNN) model built to classify customer segments in Türkiye using the teleCust1000T dataset. The project includes data cleaning, ...