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Welcome to my Housing Price Prediction System, a project designed to predict house prices using machine learning techniques. This system leverages supervised learning algorithms to analyze features such as location, size, and number of rooms to estimate house prices accurately. The project includes data preprocessing to clean and prepare the dataset, exploratory data analysis (EDA) to uncover insights, and model training to build predictive models. You can use this system to explore housing market trends, evaluate model performance, and even make predictions via a simple web interface. Whether you're a data enthusiast, a real estate professional, or a curious learner, this project provides a comprehensive approach to understanding and predicting house prices effectively.