Machine Learning methods for Nova Scotia property value prediction

This project will develop and apply machine learning techniques to predict the valuation of the properties in Nova Scotia. The techniques will help Property Valuation Services Corporation (PVSC) assessors with more efficiently and accurately valuing properties. The ultimate goal is to help PVSC reduce the number of annual appeals – which is a costly undertaking. […]

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Combining deep learning neural networks and spatiotemporal models for prediction and inference of residential house prices for property assessment

Property valuation is a crucial economic service that is used by local governments for the distribution of property taxes in order to fund local services. The current and widely adopted cost approach to valuation is based on estimating the land value and the depreciated cost of the building. This approach relies on third party cost […]

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