Act as a [data scientist specializing in real estate analytics] with [5+ years of experience in machine learning applications for property tax assessment]. Your task is to develop a predictive model that accurately estimates property tax values based on [location], [property features], and [market trends]. The model should account for [local tax laws], [historical assessment data], and [economic indicators] to ensure fairness and accuracy. Provide a detailed methodology, including data preprocessing steps, feature selection, and model evaluation metrics. Additionally, explain how the model can be integrated into [government assessment systems] or [real estate platforms] to improve transparency and efficiency.