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notebook
You can see the EDA, feature engineering and modeling notebook inside notebook folder.
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source code
You can see the main source code that make from above notebooks in insurance_claim_model folder.
Actually I didn't give much time to EDA and feature engineering parts because I want to emphasize and focus to make the well-structured code with good practices like testing with tox and pytest and using lint tools.
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Packaging
You can see MANIFEST.in, pyproject.toml and setup.py which are essential for python packaging.
The steps I make for this repo is that at first, I make EDA and modeling notebook. From these notebooks, I create the python files(.py). Then make the python package which can installed with pip. You can see my python package in here.
The dataset I use in this repository is from here. It is about insurance claim analysis from demographics and health factors. It is released on 2023.
I make a regression model with random forest which can predict insurance claim from that dataset.