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Credit Risk Modelling in R
Lessons
Credit Risk Modelling – Case Studies
Classification vs. Regression Models
Case Study – German Credit – Steps to Build a Predictive Model
Import Credit Data Set in R
German Credit Data : Data Preprocessing and Feature Selection in R
Credit Modelling: Training and Test Data Sets
Build the Predictive Model
Logistic Regression Model in R
Measure Model Performance in R Using ROCR Package
Create a Confusion Matrix in R
Credit Risk Modelling – Case Study- Lending Club Data
Explore Loan Data in R – Loan Grade and Interest Rate
Credit Risk Modelling – Required R Packages
Loan Data – Training and Test Data Sets
Data Cleaning in R – Part 1
Data Cleaning in R – Part 2
Data Cleaning in R – Part 3
Data Cleaning in R – Part 5
Remove Dimensions By Fitting Logistic Regression
Create a Function and Prepare Test Data in R
Building Credit Risk Model
Credit Risk – Logistic Regression Model in R
Support Vector Machine (SVM) Model in R
Random Forest Model in R
Extreme Gradient Boosting in R
Predictive Modelling: Averaging Results from Multiple Models
Predictive Modelling: Comparing Model Results
How Insurance Companies Calculate Risk