Credit Risk Modelling in Python Kaggle
Credit risk prediction is a crucial aspect of financial risk management, enabling lenders to assess the likelihood of borrowers defaulting on loans. Traditional credit scoring models, such as logistic regression and expert-driven rule-based systems, are limited in handling complex patterns in financial data. With the rise of machine learning (ML), credit risk prediction has significantly improved, offering higher accuracy and efficiency.
Credit Risk Prediction using Machine Learning
Software Requirements :-
- Coding Language : Python
- Implementation: Software Framework.
- Operating system : Windows 10 / 11.
- Graphical User Interface : Tkinter
Hardware Requirement:-
- Input Devices : Keyboard, Mouse.
- System : Pentium i3 Processor.
- Hard Disk : 500 GB.
- RAM : 4 GB.
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