Mrzeek/Optimizing-Lagos-Affordable-Housing-with-Predictive-Models

Optimizing Urban Development through Predictive Modeling: A Combined Analysis of the New Affordable Housing Strategy (Urban Villages) in Lagos, Nigeria. This project in Lagos, Nigeria, aims to predict housing prices accurately using machine learning. It involves data exploration, feature engineering, and training various models like Multiple Regression, Decision Tree, Random Forest, and ANFIS. Results show ANFIS outperforming linear regression in capturing nonlinear relationships. The study highlights the significance of data-driven decisions in urban planning and affordable housing initiatives.