GitHub

This Python code is a simple machine learning script that performs classification using the K-Nearest Neighbors (KNN) algorithm

Imports: The code imports necessary libraries including NumPy, Matplotlib, pandas, and the KNeighborsClassifier from scikit-learn. Data Loading: It loads a dataset from a CSV file named "countries.csv ...
IEEE

Improving Healthcare Prediction of Diabetic Patients Using KNN Imputed Features and Tri-Ensemble Model

Abstract: Objective: Diabetes ranks as the most prevalent ailment in developing nations. Vital steps to mitigate the consequences of diabetes include early detection and expert medical intervention. A ...
GitHub

Build and save K Nearest Neighbors models from .csv files!

KNN from CSV contains a main program (KNN.py) as well as two subfolders (data and models). When run, this program will allow the user to select a .csv file from the data folder and build a K Nearest ...