🏠 House Price Prediction Model Comparison

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🚀 What I Did

• Loaded California Housing Dataset
• Applied Feature Scaling using StandardScaler
• Trained multiple ML models
• Compared model performance

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🧠 Concepts Used

• Feature Engineering
• Model Training
• Model Comparison
• Evaluation Metrics (RMSE, R² Score)

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📊 Results

• Linear Regression → R²: 0.57
• Ridge Regression → R²: 0.57
• Decision Tree → R²: 0.68
• Random Forest → R²: 0.80 ✅

👉 Best Model: Random Forest

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🛠️ Tech Stack

• Python
• Pandas
• NumPy
• Scikit-learn
• Matplotlib
• Seaborn

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👨‍💻 Author

Sahil Bhatti