Housing Market Price Prediction by Square foot This Repository contains a Machine Learning Model which can predict the housing Prices .

🏡 Housing Market Price Prediction

Predict housing prices using a Neural Network model built with Keras.

Model

The model is based on a simple linear regression algorithm, which predicts the housing price by finding a linear relationship between the input features and the output variable (price). The model is trained using:

• Training data (70%)
• Testing data (30%)

Evaluation

The model's performance is evaluated using the following metrics:

• Mean Squared Error (MSE): Measures the average squared difference between predicted and actual values.
• R-squared (R²): Indicates the proportion of variance in the target variable explained by the features.

The results can be found in the output of the notebook/script.