hiwot7/fraud-detection

# 🛡️ 电子商务与银行欺诈检测系统 一个端到端的欺诈检测 pipeline，旨在识别电子商务交易和银行信用卡使用中的欺诈活动。该系统集成了先进的地理空间映射、时间特征工程和强大的机器学习工作流，以处理高度不平衡的数据集。 ## 📂 项目结构 ``` fraud-detection/ ├── .gitignore # Prevents tracking of heavy data and environment folders ├── README.md # Main project documentation ├── requirements.txt # Python environment dependencies ├── data/ # [HIDDEN BY GITIGNORE - Data directory] │ ├── raw/ # Contains raw: Fraud_Data.csv, IpAddress_to_Country.csv, creditcard.csv │ └── processed/ # Stores the engineered and geolocation-mapped outputs ├── notebooks/ │ ├── eda-fraud-data.ipynb # Exploratory Data Analysis for e-commerce transactions │ └── eda-creditcard.ipynb # Exploratory Data Analysis for credit card utilization └── scripts/ ├── .gitkeep └── preprocess.py # Core automated preprocessing pipeline script ```

标签：Apex, NoSQL, Python, 数据工程, 无后门, 机器学习, 欺诈检测, 特征工程, 逆向工具, 金融风控