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Author:
Richard, Fatoni Murfid Syafii, Ahmad Nafi Mubarok, Orie Abyan Maulana, Grace Wahyuni, Rimba Nevada, Alexander Angelo, Jason Surya Winata, Nada Musyaffa Bilhaqi
License:
MIT
Summary:
An all-in-one automation library that simplifies data cleaning, exploratory data analysis, and machine learning — from raw data to ready-to-deploy models.
Latest version:
0.1.5
Required dependencies:
catboost
|
category_encoders
|
flaml
|
imbalanced-learn
|
ipython
|
jinja2
|
joblib
|
lightgbm
|
matplotlib
|
nbformat
|
numpy
|
optuna
|
pandas
|
scikit-learn
|
scipy
|
seaborn
|
shap
|
statsmodels
|
xgboost
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