House Price Prediction

This project uses a linear regression model to predict house prices based on house size.

Project Structure

• home_prices_prediction.ipynb: Jupyter notebook containing the code for data preprocessing, model training, evaluation, and saving the model.
• house_price_model.pkl: Saved model file.
• README.md: Project documentation.

Requirements

• Python 3.x
• pandas
• numpy
• matplotlib
• scikit-learn
• joblib

Installation

1. Clone the repository:

   git clone https://github.com/emiliomonteluna/house-price-prediction.git
   cd house-price-prediction

2. Install the required packages:

   pip install -r requirements.txt

Usage

1. Run the Jupyter notebook to train the model and save it:

   jupyter notebook home_prices_prediction.ipynb

2. The model will be saved as house_price_model.pkl.