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 â which is a costly undertaking. It will also reduce the need to send assessors directly to the property locations, instead they will use machine learning techniques to more accurately predict property values.

Faculty Supervisor:

Stan Matwin

Student:

Balachandhar Nallasivan

Partner:

Property Valuation Services Corporation

Discipline:

Computer science

Sector:

Information and communications technologies

University:

Program:

Accelerate

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