This project explores the prediction and classification of second-hand house prices in Perth, Australia, using machine learning algorithms. By analyzing the real estate market, which plays a crucial role in the economy and people's lives, the study provides valuable insights into the dynamics of the second-hand housing market. The objectives of this project include predicting second-hand house prices and classifying them into low, medium, and high price categories based on various influencing factors. The findings aim to offer data-driven guidance for market suppliers and consumers, contributing to better decision-making in the real estate market.

This project explores the prediction and classification of second-hand house prices in Perth, Australia, using machine learning algorithms. By analyzing the real estate market, which plays a crucial role in the economy and people's lives, the study provides valuable insights into the dynamics of the second-hand housing market. The objectives of this project include predicting second-hand house prices and classifying them into low, medium, and high price categories based on various influencing factors. The findings aim to offer data-driven guidance for market suppliers and consumers, contributing to better decision-making in the real estate market.