Table of Contents Description Features Technologies Used Demo Installation Description The House Price Prediction project is a machine learning application that predicts the selling prices of houses based on various features such as the number of bedrooms, square footage, and location. This project serves as a practical example of regression analysis in machine learning.

Features Predicts house prices using regression algorithms. Utilizes various features to make accurate predictions. Evaluation of model accuracy and performance. Technologies Used Python for coding and scripting. Scikit-Learn library for machine learning algorithms. Jupyter Notebook for interactive development and visualization. Installation To run this project locally, follow these steps:

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