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Data Mining for Business Analytics: Concepts, Techniques, and Applications in Python

Changelog

0.2.4 (2023-06-26)

  • Avoid setting display in collab notebooks

0.2.3 (2023-05-01)

  • Control size of decisiontree plots in jupyter notebooks

0.2 (2023-04-20)

  • Move from using pydotplus to graphviz
  • Add type hints
  • switch to using ruff

0.0.19 (2021-12-05)

  • Update code to latest version of packages addressing depracation warnings

0.0.18 (2021-02-25)

  • replace 'AustralianWines.csv.gz' with correct version

0.0.17 (2021-02-25)

  • include file 'AutoAndElectronics.zip' in package

0.0.16 (2021-02-25)

  • expose method get_data_file to access files by name
with ZipFile(dmba.get_data_file('AutoAndElectronics.zip')) as rawData:

0.0.15 (2021-02-25)

  • allow keyword arguments in load_data
import dmba
data = dmba.load_data('gdp.csv', skiprows=4)
print(data.shape)

0.0.14 (2021-02-16)

  • Adapt gainsChart to work with pandas > 1.2.0 (#8)
  • Make regressionSummary to work with column and row vectors (#6)
  • Include data sets in package, use e.g. (#10)
import dmba
data = dmba.load_data('Universities.csv')
print(data.shape)