Datasets:
Correct BuildersLab framing (community, not training program), add badges
Browse files
README.md
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# LendingClub Loan Data (2007–2018)
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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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## About the project
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BuildersLab is a
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### Team
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# LendingClub Loan Data (2007–2018)
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[](https://creativecommons.org/publicdomain/zero/1.0/) [](https://builderslab.dev/) [](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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## About the project
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[BuildersLab](https://builderslab.dev/) is a community that turns learners into builders through real projects, not just tutorials. It gives students and early-career people real-world experience, mentorship, and guidance so they can grow from learners into confident builders ready for the first day of their careers.
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This dataset backs **Credit Risk Default**: an explainable credit-risk platform that predicts the probability a personal loan will default, using only borrower and loan characteristics available at origination, and surfaces the result through an interactive review dashboard for credit officers. NorthBay Bank is a fictional company created for this exercise.
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### Team
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