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A case study on predicting house prices in Ames, Iowa
31 commits 2 branches 3 tags 22 MiB
Jupyter Notebook 99.7%
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Alexander Hess e4cda219e3
Use poetry instead of Pipenv
2020-06-29 01:08:07 +02:00
data Add a variable for the total living space 2018-09-05 18:04:58 +02:00
.gitignore Update .gitignore for pyenv 2020-06-29 01:07:37 +02:00
1_data_cleaning.ipynb Create a data folder for all static files 2018-09-03 16:12:15 +02:00
2_pairwise_correlations.ipynb Add a variable for the total living space 2018-09-05 18:04:58 +02:00
3_descriptive_visualizations.ipynb Add a variable for the total living space 2018-09-05 18:04:58 +02:00
4_predictive_models.ipynb Add a simple version of predictive models 2018-09-05 22:30:42 +02:00
LICENSE Update LICENSE for 2020 2020-06-29 01:07:13 +02:00
map.pdf Add a residential map of the city of Ames, Iowa 2018-08-29 13:48:02 +02:00
paper.pdf Add original paper on which this project is based 2018-08-29 02:35:31 +02:00
poetry.lock Use poetry instead of Pipenv 2020-06-29 01:08:07 +02:00
pyproject.toml Use poetry instead of Pipenv 2020-06-29 01:08:07 +02:00
README.md Initial commit 2018-08-28 10:55:02 +02:00
utils.py Add a simple version of predictive models 2018-09-05 22:30:42 +02:00

README.md