pandas
seaborn
matplotlib
IPython
joblib
scikit-learn>=1.0.0
ipywidgets
yellowbrick>=1.4
lightgbm>=2.3.1
plotly>=5.0.0
pyyaml<6.0.0
wordcloud
textblob
cufflinks>=0.17.0
umap-learn
pyLDAvis
gensim<4.0.0
spacy<2.4.0
nltk
mlxtend>=0.17.0
pyod
pandas-profiling>=2.8.0
kmodes>=0.10.1
mlflow
imbalanced-learn==0.7.0
scikit-plot
Boruta
statsmodels~=0.12.1
sktime==0.10.1
tbats>=1.1.0
pmdarima>=1.8.0

[full]
shap
interpret<=0.2.4
tune-sklearn>=0.2.1
ray[tune]>=1.0.0
hyperopt
optuna>=2.2.0
scikit-optimize>=0.8.1
psutil
catboost>=0.23.2
xgboost>=1.1.0
LunarCalendar>=0.0.9
convertdate>=2.1.2
holidays>=0.10.2
pystan~=2.19.1.1
prophet>=1.0
boto3
azure-storage-blob
google-cloud-storage
