House-Price-Prediction-ML project

Complete end-to-end regression project (R²: 0.88+)

Results

Model	R² Score	RMSE
XGBoost	0.88	0.13
Random Forest	0.86	0.14

Tech Stack

• Pandas, NumPy, Scikit-Learn
• XGBoost, Matplotlib, Seaborn
• Kaggle Ames Housing Dataset

Quick Start

1. Clone repo
2. Upload train.csv
3. pip install -r requirements.txt
4. Run House_Price_Prediction.ipynb