House-Price-Prediction-with-ElasticNetCV-Regression-and-Log-Transform

House Price Prediction

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.

Overview

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.

Requirements

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

Contributing

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