Description
In this course, you will :
- Investigate a real-world data set, then preprocess the data set so that it is in the correct format before applying credit risk models.
- In this tutorial, you will learn how to use logistic regression models on credit data in R.
- Learn how to create classification trees in R using credit data.
- Learn how to evaluate and compare the outcomes of various credit risk models.
Syllabus :
- Introduction and data preprocessing
- Logistic regression
- Decision trees
- Evaluating a credit risk model

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