PropTech product enhancement using ML
summary
Describes using machine learning to improve a PropTech product by automating valuation, recommendation and decision-support tasks; covers specific ML methods (classification/regression models, feature engineering) and data sources used (market listings, transaction history, property attributes), plus deployment considerations such as model evaluation and integration into the product stack.
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