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A case study on predicting house prices in Ames, Iowa
17 commits 2 branches 3 tags 22 MiB
Jupyter Notebook 99.7%
Python 0.3%
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Alexander Hess 0ef2c48833 Add notebook with pair-wise correlation analysis
2018-09-02 23:25:07 +02:00
.gitignore Add .gitignore file 2018-08-29 02:34:48 +02:00
1_data_cleaning.ipynb Add a TARGET_VARIABLE constant to refer to Sales Price in a slightly cleaner way 2018-09-02 23:17:15 +02:00
2_pairwise_correlations.ipynb Add notebook with pair-wise correlation analysis 2018-09-02 23:25:07 +02:00
data_clean.csv Add a TARGET_VARIABLE constant to refer to Sales Price in a slightly cleaner way 2018-09-02 23:17:15 +02:00
data_documentation.txt Add notebook for data retrieval and cleaning (with cached data files) 2018-08-29 10:31:33 +02:00
data_raw.xls Add notebook for data retrieval and cleaning (with cached data files) 2018-08-29 10:31:33 +02:00
LICENSE Add license file 2018-08-29 10:50:27 +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
Pipfile Add visualizations for missing data 2018-08-29 17:10:43 +02:00
Pipfile.lock Sync Pipfile 2018-09-02 23:24:28 +02:00
README.md Initial commit 2018-08-28 10:55:02 +02:00
utils.py Add notebook with pair-wise correlation analysis 2018-09-02 23:25:07 +02:00
weakly_and_strongly_correlated_variables.json Add notebook with pair-wise correlation analysis 2018-09-02 23:25:07 +02:00

README.md