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Agadir House Prices Prediction
A comprehensive machine learning solution that estimates real estate prices in Agadir using advanced Gradient Boosting algorithms. Features include automated data collection through web scraping, REST API integration via Flask, and Docker containerization for seamless deployment. The system achieved 89% prediction accuracy through rigorous feature engineering and hyperparameter tuning.
Tech Stack
Core Technologies
Gradient BoostingFlask APIRegression ModelsScikit-learn
Additional Technologies
PandasDockerBeautifulSoupPostgreSQLFeature EngineeringGrid SearchJoblibMatplotlibData Cleaning
Project Highlights
Key Features
- Real-time price predictions
- Automated data pipeline
- Production-ready API
- Customizable inputs for features
- Scalable ML backend
Technical Details
- Built with Gradient Boosting, Flask API, Regression Models, Scikit-learn
- 9+ supporting technologies
- Category: DATA SCIENCE