A few models to predict the default rate of the clients There are total of 4 parts Tools include numpy, pandas, sklearn, matplotlib
First part is a simple model for forecasting future gas price in a specific region Second part is a model predicting banking clients credit default probability Third and fourth is a dynamic model involve the probability of default and FICO score among clients
All the codes are available for study purposes and open for disscusion