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End-to-end Data Analytics pipeline for analyzing, clustering, and forecasting residential construction costs in Europe (Eurostat data). Includes ETL, Feature Engineering, and Machine Learning models (Random Forest, K-Means).
This project aims to assess construction cost at completion, known as EAC, using artificial intelligence to take into account past data and provide accurate estimations