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This is a project to analysis a risk of customer credit data through clustering algorithm to cluster the data to good credit risk or bad credit risk and calculating total credit score through credit scorecard analysis. The chosen customer is the data which contain Good Credit Risk label and Accepted Label

Jupyter Notebook 98.84% Python 1.16%

credit-risk-analysis's Introduction

Dumelang ๐Ÿ‘‹

  • ๐Ÿ”ญ Iโ€™m a UCT mechanical engineering graduate, IE University Business Analytics and Big data graduate and a passionate believer in data science and Liverpool FC.
  • ๐ŸŒฑ Iโ€™m currently interested and learning about a/b testing and product analytics.
  • ๐Ÿ‘ฏ Iโ€™m looking to collaborate/work on any project involving unstructured data, utitlizing network analysis/graph theory and NLP in healthcare, product analytics and consulting.
  • ๐Ÿ“ซ How to reach me: [email protected], [email protected] and here
  • โšก Fun fact: But what if we're wrong?

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Checkout my website https://marangmutloatse.super.site/

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