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Author:
Ahmed Abd El Tawab
Summary:
Lightweight exploratory-data-analysis, cleaning, feature-engineering, selection and baseline-modeling helpers: one line of code -> a rich table, a multi-panel plot, and a decision sentence, on top of pandas / scikit-learn.
Latest version:
0.6.1
Required dependencies:
matplotlib
|
numpy
|
pandas
|
scipy
|
seaborn
Optional dependencies:
build
|
charset-normalizer
|
clevercsv
|
hypothesis
|
ipykernel
|
jupyter
|
mkdocs-material
|
mkdocstrings
|
mypy
|
openpyxl
|
plotly
|
polars
|
pyarrow
|
pytest
|
pytest-benchmark
|
pytest-cov
|
ruff
|
scikit-learn
|
statsmodels
|
streamlit
|
twine
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