Housing price prediction involves estimating the future value of residential properties based on various factors. These factors can include location, market trends, economic conditions, and property features. By analyzing historical data and current market indicators, experts aim to forecast how much a home might sell for in the future. To make accurate predictions, analysts often use statistical models and machine learning techniques. These methods help identify patterns and relationships in the data, allowing for more informed decisions. Tools and platforms that specialize in real estate analytics play a crucial role in providing insights for buyers, sellers, and investors.