Financial Risk Insights using Live API Data

This project demonstrates a real-world machine learning pipeline using live data from the World Bank API.

🌍 Data Source

World Bank Open Data API: https://data.worldbank.org/

⚙️ Pipeline

1. Fetch data via API
2. Convert JSON to pandas DataFrame
3. Data cleaning and preprocessing
4. Feature engineering
5. Train ML model (Logistic Regression)
6. Evaluate performance

🚀 How to run

pip install -r requirements.txt python main.py

📊 Output

• Risk classification (High / Low)
• Accuracy and classification report

🧠 Skills demonstrated

• API integration (requests)
• Data processing
• Machine Learning
• Real-world pipeline design