Detail: Here
Conclusions:
- Using Machine Learning models to forecast Credit Risk.
- Matplotlib and Seaborn will be used for Data Visualization and EDA.
- Best model is CatBooost.
- Built prediction model with high accuracy (93.64%) to predict Credit Risk.
You can contact with me on:
- Gmail: lehongngoc.work@gmail.com
- GitHub: LeHongNgoc3820
- Linkedln: Ngoc Le Hong
Make by Lucas,