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Integration:  dvc git github
0a34dec529
change dvc remote
2 years ago
17c4a5a122
add new algorithms
2 years ago
8b1e9869de
stage data/raw
2 years ago
0e48e397ff
fix README and config file
2 years ago
69faac688d
change drop columns to keep columns
2 years ago
src
0a0128148a
add dvc yaml and fix process_data
2 years ago
f6390cde33
finish segmentation
2 years ago
de52079bda
add processed functions
2 years ago
8b1e9869de
stage data/raw
2 years ago
cb55891ad4
add scaler
2 years ago
0e48e397ff
fix README and config file
2 years ago
0e48e397ff
fix README and config file
2 years ago
da8c373ea9
add streamlit
2 years ago
0a0128148a
add dvc yaml and fix process_data
2 years ago
0a0128148a
add dvc yaml and fix process_data
2 years ago
9fef631d8a
update poetry
2 years ago
0a0128148a
add dvc yaml and fix process_data
2 years ago
9fef631d8a
update poetry
2 years ago
0a0128148a
add dvc yaml and fix process_data
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
make install_all
  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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