Act as a senior data scientist with 10 years of experience in real estate analytics. Your task is to develop a machine learning model to predict housing market trends in [specific city/region] over the next [timeframe, e.g., 6 months, 1 year]. Use historical housing data, including [key features, such as median home price, inventory levels, mortgage rates, and demographic changes], to train the model. Ensure the model accounts for external factors like [economic indicators, seasonal trends, or policy changes]. Provide actionable insights for [target audience, e.g., real estate investors, policymakers, or homebuyers] based on the model’s predictions. Include a detailed explanation of the model’s accuracy, limitations, and potential risks.