Machine Learning Regression System with Numerical Data Preprocessing

This project implements a complete machine learning pipeline for predicting numerical values using regression algorithms. It includes a full numerical data preprocessing stage to clean, prepare, and transform datasets before applying machine learning models.

The system implements and compares two regression approaches: Linear Regression and K-Nearest Neighbors (KNN) Regression.