Several prediction models designed to predict log errors of home prices from Zillow home datasets and create visualizations.
Datasets
Download the following datasets from Kaggle and place in the datasets directory.
- properties_2016.csv
- properties_2017.csv
- train_2016_v2.csv
- train_2017.csv
Dependencies
Install the following Python packages. They are required:
- seaborn
- scikit-learn
- matplotlib
- pandas
For more instructions, follow the Python Packaging User Guide.
Instructions
To get project results and visualizations, run the Jupyter Notebook .ipynb files in each folder directory.