Credit risk modelling in python can help banks and other financial institutions reduce risk and prevent society from experiencing financial crises as in the case of 2008.The objective of this article is to build a model to predict probability of person defaulting a loan. The following steps will be followed in building the model.

1. Data preparation and Pre-processing

2. Feature Engineering and Selection

3. Model Development and Model Evaluation

#python #risk #credit-risk