Identifying Fraudulent Products
Identifying fraudulent products in secondhand trading websites via crawling and machine learning. 1st place, used as best practice in next year's class.
| POSTECH | Mar. 2021 – Jun. 2021 |
Identifying fraudulent products in secondhand trading websites via crawling and machine learning. 1st place, used as best practice in next year’s class.
- Implemented code for real-time crawling of secondhand trading websites
- Data pre-processing and feature engineering
- Analysis and classification using machine learning algorithms