KNN Implementation with Weighted Euclidean Distance

This project implements the K-Nearest Neighbors (KNN) algorithm with a weighted Euclidean distance function in R. It uses a dataset named Invistico_Airline.csv to predict customer satisfaction based on various features. The script also includes hyperparameter tuning to find the optimal value of k using the elbow method.

Requirements

• R (version 3.5 or higher)
• ggplot2 library

Installation

To install the required package, use the following command in R:

install.packages("ggplot2")

Screenshots of the project have been uploaded above.