In this personal project, I will explore Real Estate data from houses in Madrid in order to train a model and predict properties prices.
I will also create a simple web interface in order to allow the user to predict house prices in an interactive way.
The data can be obtained from Madrid real estate market (direct download link).
git clone https://github.com/igonro/real-estate-prediction.git
cd real-estate-prediction
conda env create -f conda.yaml
conda activate real_estateYou must have your conda environment activated.
- Execute
jupyter-lab. - Access the Jupyter server on the browser.
- Click
Run>Run All Cells.
- Execute
python app.py. - Access the Flask server on the browser: http://localhost:5000.