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A case study on predicting house prices in Ames, Iowa
13 commits 2 branches 3 tags 22 MiB
Jupyter Notebook 99.7%
Python 0.3%
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Alexander Hess ffeed18376 Store the sales price as a float
2018-08-29 17:18:57 +02:00
.gitignore Add .gitignore file 2018-08-29 02:34:48 +02:00
1_data_cleaning.ipynb Store the sales price as a float 2018-08-29 17:18:57 +02:00
data_clean.csv Cast all numeric fields correctly as floats or integers 2018-08-29 14:32:29 +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 Add visualizations for missing data 2018-08-29 17:10:43 +02:00
README.md Initial commit 2018-08-28 10:55:02 +02:00
utils.py Add INDEX_COLUMNS constant for more readablility 2018-08-29 14:00:52 +02:00

README.md