The Credit Card Score Predictor is a machine learning project designed to predict a customer's credit score category based on their financial and demographic data. This project can help financial institutions assess creditworthiness more efficiently.
- Data preprocessing and cleaning
- Exploratory Data Analysis (EDA)
- Machine Learning model training and evaluation
- Prediction of credit score categories
- Model performance metrics visualization
- Python
- Pandas
- NumPy
- Matplotlib / Seaborn
- Scikit-learn
- Google Colab
The dataset contains customer demographic and financial details, including:
- Annual Income
- Credit Utilization Ratio
- Payment History
- Number of Bank Accounts
- Loan Details