[Ji Ge] Credit card fraud detector based on machine learning

Yuxian: CSDN content partner, CSDN rising star mentor, rising star creator in the full stack field, 51CTO (Top celebrity + expert blogger), github open source enthusiast (go-zero source code secondary development, game back-end architecture https: //github.com/Peakchen)

A machine learning-based credit card fraud detector is a system for identifying potential fraud in credit card transactions. Its principle is to use historical transaction data to learn the patterns and characteristics of normal and fraudulent transactions by training a machine learning model, and then predict whether there is fraud based on new transaction data.

Overall architecture diagram:

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|         特征工程            |
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