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Author:
Artur Avagyan, Elen Galoyan, Hrag Sousani, Ina Karapetyan, Khoren Movsisyan
Summary:
SuRFM is a Python package for conducting RFM (Recency, Frequency, Monetary) analysis of customers. It provides tools for segmenting customers based on their transaction behavior and identifying high-value segments.
Latest version:
2.0.0
Required dependencies:
annotated-types
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anyio
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appnope
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asttokens
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certifi
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charset-normalizer
|
click
|
comm
|
debugpy
|
decorator
|
exceptiongroup
|
executing
|
faker
|
fastapi
|
greenlet
|
h11
|
httptools
|
idna
|
importlib-metadata
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ipykernel
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ipython
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jedi
|
jupyter-client
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jupyter-core
|
matplotlib-inline
|
nest-asyncio
|
numpy
|
packaging
|
pandas
|
parso
|
pexpect
|
platformdirs
|
prompt-toolkit
|
psutil
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ptyprocess
|
pure-eval
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pydantic
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pydantic-core
|
pygments
|
python-dateutil
|
python-dotenv
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pytz
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pyyaml
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pyzmq
|
requests
|
six
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sniffio
|
sqlalchemy
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stack-data
|
starlette
|
tornado
|
traitlets
|
typing-extensions
|
tzdata
|
urllib3
|
uvicorn
|
uvloop
|
watchfiles
|
wcwidth
|
websockets
|
zipp
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