1.0 Concept
In the evolving landscape of urban development, property rates are influenced by numerous factors, including geographical, socio-economic, and infrastructural elements. Our project, “Urban Insights: Leveraging Open Data for Smart Property Rate Predictions,” aims to create an intelligent, data-driven model to forecast property rates. This model utilizes features such as wards, property types, and land use to deliver accurate and insightful predictions.
1.1 Project Workflow
1.2 Establishing CityGraph from OSMNX :
1.3 Dataset Visualisation :
1.4 Feature Extraction :
Adding Landuse Features to Nodes :
Extracting Ward Features to Nodes :
1.5 Price Wise Class Distribution :
1.5 Adding Features to Nearest Nodes :
1.5 Machine Learning :
TEST 1 :
TEST 2 :
Final Training and Validation Arcs:
