This project is dedicated to building a robust solution for detecting fraudulent activities. By developing and implementing advanced analytical techniques, the project aims to identify suspicious patterns and irregularities that may indicate fraudulent behavior. The ultimate goal is to create a reliable system that can flag potentially fraudulent transactions or activities, enhancing security and supporting proactive measures against fraud.
Key stages of the process include:
Conducting exploratory data analysis Analyzing correlations Engineering features Building and training models Assessing model performance