Welcome to the House Price Prediction project! This repository showcases a comprehensive machine learning model designed to predict housing prices based on various features and parameters. Utilizing powerful libraries such as NumPy, Pandas, Matplotlib, SciPy, and Scikit-learn, this project demonstrates essential data preprocessing, exploratory data analysis, and model training techniques. It provides a hands-on approach to understanding how different factors influence housing prices and how to apply statistical methods to generate accurate predictions. Whether you’re a beginner eager to learn about data science or an experienced developer looking to enhance your skills, this project offers valuable insights into the world of predictive modeling and data analysis.
| Python | Numpy | Pandas | Matplotlib | Scikit-learn |
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