In our quest to gain a comprehensive understanding of machine learning algorithms, we built a custom Linear Regression (or K-Nearest Neighbors) model from scratch in C++. This project involved implementing functions for data loading, preprocessing, model training, and prediction. We leveraged linear algebra libraries to optimize calculations and ensure efficiency.