Fraud Detection in Python

Build an effective machine learning project to detect instances of financial crime.

Created by: Richard Ball, PhD
Principal Data Scientist

What Will I Learn?

• Use Python to analyze a sample credit card fraud data set
• Train and improve various supervised machine learning models to detect fraud
• Generate and interpret performance metrics relevant to fraud detection
• Select an optimal classification model based on various criteria
• Apply various strategies for improving the performance of your fraud detection models

Requirements

• Be familiar with the Python programming language.
• An understanding of basic data science and machine learning principles.

Target audience

• Any fraud analysts interested in machine learning.
• Anyone interested in learning about how to apply machine learning to detect fraud.
• Data scientists looking to train a fraud detection model for their organizations.