Credit Risk Modeling In Python Save
Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Computed Weight of Evidence and price elasticities.
Credit-Risk-Modeling-in-Python
I have modeled the credit risk associated with consumer loans. The jupyter notebook contains detailed explanation with comments, code and visualizations.
List of dummy variables is a file which contains dummy variables for all original variables (discrete and continuous) which is used for analysis.
List of reference variables is a file which contains reference variables for all original variables (discrete and continuous). This helps in comparing the performance of the dummy variables with a reference.
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