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Author:
Angel Martinez-Tenor
License:
MIT
Summary:
Personal side project to streamline the most common tasks of data science solutions in an efficient manner. This project is based on my experience as a lead data scientist in the industry and financial services sectors, where I have gained expertise in delivering effective data-driven insights and solutions
Latest version:
0.1.2
Required dependencies:
chart-studio
|
fastapi
|
graphviz
|
gunicorn
|
ipython
|
jupyter
|
jupyter-contrib-nbextensions
|
langchain
|
pandarallel
|
pandas
|
pandas-profiling
|
pandera
|
psutil
|
py-cpuinfo
|
pyarrow
|
python-dotenv
|
sentence-transformers
|
streamlit
|
tabulate
|
tqdm
|
ua-parser
|
uvicorn
Optional dependencies:
explainerdashboard
|
flask-simplelogin
|
google-cloud-aiplatform
|
lightgbm
|
mapie
|
matplotlib
|
openai
|
plotly
|
scikit-learn
|
scikit-optimize
|
seaborn
|
shap
|
xgboost
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