House Price Prediction Using Machine Learning (Python)

This project focuses on building a simple machine learning model to predict house prices using Python.

The dataset was processed and split into training and testing sets. A Linear Regression model was applied to learn the relationship between features such as area and number of rooms and the target variable (price).

The model was evaluated by comparing predicted values with actual values using visualization techniques.