Shypd.aiThe largest open index of AI toolsfraud-detection-handbook is an open-source resource providing reproducible machine learning techniques for credit card fraud detection. It serves as a practical handbook for implementing and understanding ML models in fraud prevention.
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The fraud-detection-handbook is a comprehensive, open-source resource dedicated to reproducible machine learning for credit card fraud detection. It functions as a practical handbook, offering detailed insights into the motivations and active research within this field. The resource emphasizes reproducibility, with all techniques and results provided in Jupyter notebooks that can be executed locally or on cloud platforms like Google Colab or Binder. It is designed for students and professionals interested in credit card fraud detection from a practical standpoint, as well as data practitioners and scientists dealing with sequential data and imbalanced classification problems. The handbook covers topics such as book overview, background, getting started, performance metrics, model selection, imbalanced learning, and deep learning.
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