nafisatibrahim commited on
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Add banner, live demo badge, fix DatasetGenerationCastError with configs

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  1. README.md +10 -2
README.md CHANGED
@@ -12,15 +12,23 @@ tags:
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  pretty_name: "LendingClub Loan Data (2007-2018)"
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  size_categories:
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  - 1M<n<10M
 
 
 
 
 
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  ---
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  # LendingClub Loan Data (2007-2018)
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- [![License: CC0-1.0](https://img.shields.io/badge/License-CC0%201.0-lightgrey)](https://creativecommons.org/publicdomain/zero/1.0/) [![BuildersLab](https://img.shields.io/badge/BuildersLab-builderslab.dev-F05A24)](https://builderslab.dev/) [![LinkedIn](https://img.shields.io/badge/LinkedIn-BuildersLab-0A66C2?logo=linkedin&logoColor=white)](https://www.linkedin.com/company/builderslabdev) [![GitHub repo](https://img.shields.io/badge/GitHub-Credit--Risk--Default-181717?logo=github)](https://github.com/BuildersLab/Credit-Risk-Default)
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  Personal loan applications and originations from LendingClub (2007-2018), sourced from Kaggle. Used by [BuildersLab](https://github.com/BuildersLab)'s **Credit Risk Default** project to build an explainable model that predicts **loan application defaults**, not a credit card product, for a fictional bank case study.
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  - **Project repo:** https://github.com/BuildersLab/Credit-Risk-Default
 
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  - **Source:** [Kaggle: All Lending Club loan data](https://www.kaggle.com/datasets/wordsforthewise/lending-club) (`wordsforthewise/lending-club`)
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  - **License:** CC0 1.0 Universal (Public Domain)
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@@ -41,7 +49,7 @@ This dataset backs **Credit Risk Default**: an explainable credit-risk platform
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  ## Data Dictionary
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  Two project-generated summary files under `data_dictionary/`, produced while cleaning
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- the raw LendingClub CSV (see [`notebooks/00_cleaning.ipynb`](https://github.com/BuildersLab/Credit-Risk-Default/blob/main/notebooks/00_cleaning.ipynb)), not Kaggle's raw column list.
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  - **`data_dictionary_summary.csv`**: one row per column: `Variable`, `Description`
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  (LendingClub's official column definition), `Missing Values` (count),
 
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  pretty_name: "LendingClub Loan Data (2007-2018)"
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  size_categories:
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  - 1M<n<10M
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+ configs:
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+ - config_name: data_dictionary_summary
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+ data_files: data_dictionary/data_dictionary_summary.csv
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+ - config_name: missing_values_summary
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+ data_files: data_dictionary/missing_values_summary.csv
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  ---
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+ ![LendingClub Loan Data banner](assets/banner.svg)
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+
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  # LendingClub Loan Data (2007-2018)
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+ [![License: CC0-1.0](https://img.shields.io/badge/License-CC0%201.0-lightgrey)](https://creativecommons.org/publicdomain/zero/1.0/) [![BuildersLab](https://img.shields.io/badge/BuildersLab-builderslab.dev-F05A24)](https://builderslab.dev/) [![LinkedIn](https://img.shields.io/badge/LinkedIn-BuildersLab-0A66C2?logo=linkedin&logoColor=white)](https://www.linkedin.com/company/builderslabdev) [![GitHub repo](https://img.shields.io/badge/GitHub-Credit--Risk--Default-181717?logo=github)](https://github.com/BuildersLab/Credit-Risk-Default) [![Live Demo](https://img.shields.io/badge/Streamlit-Live%20Demo-FF4B4B?logo=streamlit&logoColor=white)](https://portfolio-risk-prediction.streamlit.app/)
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  Personal loan applications and originations from LendingClub (2007-2018), sourced from Kaggle. Used by [BuildersLab](https://github.com/BuildersLab)'s **Credit Risk Default** project to build an explainable model that predicts **loan application defaults**, not a credit card product, for a fictional bank case study.
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  - **Project repo:** https://github.com/BuildersLab/Credit-Risk-Default
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+ - **Live demo:** https://portfolio-risk-prediction.streamlit.app/
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  - **Source:** [Kaggle: All Lending Club loan data](https://www.kaggle.com/datasets/wordsforthewise/lending-club) (`wordsforthewise/lending-club`)
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  - **License:** CC0 1.0 Universal (Public Domain)
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  ## Data Dictionary
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  Two project-generated summary files under `data_dictionary/`, produced while cleaning
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+ the raw LendingClub CSV (see [`notebooks/00_cleaning.ipynb`](https://github.com/BuildersLab/Credit-Risk-Default/blob/main/notebooks/00_cleaning.ipynb)), not Kaggle's raw column list. They have different columns, so each is declared as its own config above (see `configs:` in the metadata) rather than being auto-merged.
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  - **`data_dictionary_summary.csv`**: one row per column: `Variable`, `Description`
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  (LendingClub's official column definition), `Missing Values` (count),