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Integration:  dvc git github
Khuyen Tran 4c7bf24061
Merge pull request #7 from khuyentran1401/master
2 years ago
cd38f6c9a1
predict with file
2 years ago
baeb02bfb5
change readme and makefile
2 years ago
69faac688d
change drop columns to keep columns
2 years ago
src
baeb02bfb5
change readme and makefile
2 years ago
f6390cde33
finish segmentation
2 years ago
de52079bda
add processed functions
2 years ago
6e3f9b1c46
simplify files
2 years ago
cb55891ad4
add scaler
2 years ago
bd4062c12c
clean up
2 years ago
3f05e9260b
Update README.md
2 years ago
da8c373ea9
add streamlit
2 years ago
42690e67df
simplify files
2 years ago
42690e67df
simplify files
2 years ago
42690e67df
simplify files
2 years ago
42690e67df
simplify files
2 years ago
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README.md

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End-to-end Customer Segmentation Project

Tools Used in This Project

Variations of This Project

Project Structure

  • src: consists of Python scripts
  • config: consists of configuration files
  • data: consists of data
  • notebook: consists of Jupyter Notebooks
  • tests: consists of test files

Set Up the Project

  1. Install Poetry
  2. Set up the environment:
make setup
  1. To persist the output of Prefect's flow, run
export PREFECT__FLOWS__CHECKPOINTING=true

Run the Project

To run all flows, type:

python src/main.py

To run the process flow, type:

python src/main.py flow=process

To run the segment flow, type:

python src/main.py flow=segment
Tip!

Press p or to see the previous file or, n or to see the next file

About

End-to-end Customer Segmentation Project using
Prefect, hydra, Weights & Biases, pre-commit, poetry, DVC, and BentoML

Collaborators 1

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