dhahbimohamed/Predict_Tunisian_House_Rent

# 🇹🇳 Tunisian House Rent Price Predictor 🏠 This is a Machine Learning-powered web app that predicts the **monthly rent price of houses in Tunisia**, based on surface area, number of rooms, number of bathrooms, and city. Built by a Tunisian CS student to explore real-world ML from end to end — from messy data cleaning to model training to web app deployment. --- ## 🚀 Live App 👉 Click here to open the live app --- ## 📦 Features - 🔍 Predicts rent price based on: - Surface (m²) - Rooms - Bathrooms - City (one-hot encoded) - 📊 Trained on real scraped data from Tayara.tn - 🎯 Supports Tunisian cities like Tunis, Sfax, Sousse, etc. - 🌐 Deployed with Streamlit Cloud for public use --- ## 📁 Dataset The dataset was scraped from tayara.tn and cleaned manually: - Removed entries with missing or inconsistent values - Filtered unreasonable outliers (e.g., 0 rooms with 1000 TND) - Encoded categorical data (cities) using One-Hot Encoding Final dataset: **~1900 rental houses** --- ## 🧠 Model We tested: - Linear Regression - Random Forest Regressor Final performance (after filtering outliers): - **Linear Regression** (best model ✅) - **MAE**: ~244 TND - **RMSE**: ~302 TND Model trained on features: ```python ['surface', 'rooms', 'bathrooms', 'city_Tunis', 'city_Sfax', ...] ``` ## 👨‍💻 Author **Mohamed Dhahbi** — CS student & aspiring ML engineer 📧 mohameddhahbi56@gmail.com