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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.