K-Nearest Neighbors Regression Algorithm Implementation | Challenge

# Introduction

In this challenge, we will be implementing the K-nearest neighbors regression algorithm using Python. The objective is to predict the target value for a single unknown sample based on known samples. The algorithm works by finding the K nearest neighbors of the unknown sample and calculating the average target value of those neighbors as the predicted result.