This repository contains code for predicting house prices using machine learning techniques. The model is built using the Home Data for Machine Learning Course dataset.

The provided Python script (house_price_prediction.py) demonstrates the process of building and evaluating a regression model for predicting house prices. The script includes data loading, preprocessing, model training, evaluation, and submission creation for a Kaggle competition.

To run the script, you need the following dependencies:

• Python
• scikit-learn
• numpy
• pandas
• matplotlib
• seaborn

You can install these dependencies using pip:

pip install scikit-learn numpy pandas matplotlib seaborn

Contributions are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.