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Build and apply a classification model to provide recommendation on which loan applicants the bank should lend to.

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emilylauyw/Udacity_BAND_Project6-Predicting_Default_Risk

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Udacity BAND Project6 - Predicting Default Risk

Description

Due to a financial scandal that hit a competitive bank last week, there has been a sudden influx of new people applying for loans at the bank. All of a sudden there are nearly 500 loan applications to process this week.

The bank see this new influx as a great opportunity and wants to figure out how to process all of these loan applications to determine if customers are creditworthy to give a loan to.

Files

  1. credit-data-training.xlsx contains all credit approvals from your past loan applicants the bank has ever completed.
  2. customers-to-score.xlsx the new set of customers that you need to score on the classification model you will create.
  3. P6_Predicting_Default_Risk.pdf contains the final report.

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Build and apply a classification model to provide recommendation on which loan applicants the bank should lend to.

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