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Hello, in this code I designed the KNN algorithm myself and rewrote it from scratch. I wanted the source code to be available in case I need an improvement in the future. Thanks to this code, I am stepping into learning SOLID principles.
This project aims to build a complete pattern recognition system to solve classification problems using the k-Nearest Neighbors (KNN) algorithm. To classify chest X-ray images into three categories: COVID-19 positive, pneumonia positive, and normal. To achieve this, we utilize the COVID-19 Chest X-ray dataset available on Kaggle.
The k-nearest neighbors (KNN) algorithm is a simple, supervised machine learning algorithm that can be used to solve both classification and regression problems
This GitHub repository hosts the project report and analysis code on investigating lifestyle habits and medical conditions influencing diabetes prevalence. Utilizing data from the CDC's Behavioral Risk Factor Surveillance System survey, the project explores correlations and predictive models for diabetes risk.
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, visualization, feature scaling, model training, and evaluation with accuracy metrics.
This project creates an image of various points, with each pixel colored according to that pixel's distance to the nearest couple of points and their respective colors.