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Credit Scoring

Petit example of credit scoring analysis based on the data mining course of my former PhD adviser Tomas Aluja

The project contains two datasets in csv format (raw data, and cleaned data), as well as the R scripts for the analysis

  • Part 1 - Data Processing
  • Part 2 - Profiling
  • Part 3 - Principal Components Analysis
  • Part 4 - Multiple Correspondence Analysis
  • Part 5 - Clustering Analysis
  • Part 6 - Decision Trees
  • Part 7 - Logistic Regression

The raw dataset is in the file "CreditScoring.csv" which contains 4455 rows and 14 columns:

1 Status credit status
2 Seniority job seniority (years)
3 Home type of home ownership
4 Time time of requested loan
5 Age client's age
6 Marital marital status
7 Records existance of records
8 Job type of job
9 Expenses amount of expenses
10 Income amount of income
11 Assets amount of assets
12 Debt amount of debt
13 Amount amount requested of loan
14 Price price of good

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Petit example of credit scoring analysis

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