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Hamid-Awol/dinsho-house-price-predictor

Domaine:

socioeconomic

Type de record:

model
Créateur:
Ham
Hôte:
ML House Price Predictor for Ethiopian Real Estate # 🏠 Addis Ababa House Price Predictor A machine learning-powered web application for predicting house prices in Addis Ababa, Ethiopia with bulk purchase discounts and complexity analysis. ## Features ### 1. Single House Prediction - Manual input of property details - Instant price prediction - Comparison with market averages ### 2. Mass Prediction (Bulk) - Upload CSV file with multiple properties - Bulk price predictions - **10% discount for purchases of more than 2 houses** - Download results and summary reports ### 3. Complexity Analysis - Detect overfitting and underfitting - Analyze tree depth effects - Understand bias-variance tradeoff ### 4. Model Training - Train Random Forest models with complexity control - Adjustable parameters (tree depth, min samples) - Cross-validation for robust performance ## Installation ```bash # Make scripts executable chmod +x install.sh run.sh # Install dependencies ./install.sh # Run the app ./run.sh

Visit

github.com

Languages

Amharic

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