KNN-algorithm-from-scratch

Overview

This project provides a custom implementation of the K-Nearest Neighbors (KNN) algorithm using NumPy and Pandas, demonstrating the core machine learning technique without relying on scikit-learn.

Features

• Custom KNN algorithm implementation

• Distance calculation methods (Euclidean, Manhattan)

• Flexible k-value selection

• Support for classification and regression tasks

• Easy to use and understand implementation

• Also I have included KNN from scikit-learn for comparison