Machine Learning Algorithms

Linear Regression from Scratch

This project predicts house prices using linear regression built from scratch with NumPy.

Dataset

California Housing dataset (20,640 samples, 8 features)

Results

• R2 Score: 0.60 (train), 0.56 (test)

How to run

1. Install dependencies: pip install numpy scikit-learn matplotlib
2. Run: python Supervised/LinearRegression.py