Forecasting for second-hand house prices in China using the GA-PSO-BP neural-network model. (Excel Dataset and Python Code)

The study highlights the model's effectiveness in forecasting prices for second-hand houses, particularly in rapidly growing urban areas like Guangzhou. This research provides accurate and reliable insights for real estate investors considering second-hand housing markets in China.The above attachments contain the data set and the final Python code for the research work