README.md

metadata

title: Credit Card Fraud Detection with DuckDB
emoji: 💳
colorFrom: blue
colorTo: purple
sdk: gradio
sdk_version: 6.4.0
python_version: '3.10'
app_file: app.py
pinned: false

Credit Card Fraud Detection with DuckDB and Medallion Architecture

This project demonstrates an end-to-end pipeline for credit card fraud detection. It uses DuckDB to process data in a Medallion Architecture (Bronze, Silver, Gold) and trains a Random Forest model to identify fraudulent transactions.

Project Structure

• data/: Contains the raw CSV datasets (fraudTrain.csv, fraudTest.csv).
• src/: Contains the Python scripts for the data pipeline and model training.
  • bronze.py: Ingests raw data into the bronze layer.
  • silver.py: Cleans and transforms data for the silver layer.
  • gold.py: Creates aggregated features for the gold (analytics) layer.
  • train.py: Trains a RandomForestClassifier on the gold data and saves the model.
• models/: Directory where the trained model is saved.
• requirements.txt: Lists the required Python packages.

How to Run

1. Install dependencies:

pip install -r requirements.txt