Loan Risk Prediction
A machine learning project to assess and predict loan application risks.
Project Description
The project involves building a robust machine learning model to predict the risk associated with loan applications. By analyzing various applicant features, the model helps in making informed decisions about loan approvals, thereby reducing financial risk.
Key Features
- Comprehensive Data Preprocessing
- Risk Assessment Modeling
- Interactive Streamlit Interface
- Real-time Prediction Capabilities
Technologies Used
Python
Scikit-learn
Pandas & NumPy
Streamlit
Matplotlib
Project Links
Challenges Faced
Addressing class imbalance in the dataset, ensuring model interpretability for financial compliance, and optimizing the application for real-time user interaction.
