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  1. Chapter-12-Data-Preparation-for-Fraud-Analytics Chapter-12-Data-Preparation-for-Fraud-Analytics Public

    Chapter 12: Data Preparation for Fraud Analytics

    Jupyter Notebook 1

  2. Chapter-10-Advanced-Feature-Engineering-Techniques-for-Fraud-Analytics Chapter-10-Advanced-Feature-Engineering-Techniques-for-Fraud-Analytics Public

    Advanced Feature Engineering Techniques for Fraud Analytics

    Jupyter Notebook

  3. Chapter-11-Handling-Imbalanced-Data-Sets Chapter-11-Handling-Imbalanced-Data-Sets Public

    Handling Imbalanced Data Sets

    Jupyter Notebook

  4. Chapter-14-Techniques-for-Detecting-Outliers-Anomalies-and-Behavioral-Changes Chapter-14-Techniques-for-Detecting-Outliers-Anomalies-and-Behavioral-Changes Public

    Techniques for Detecting Outliers, Anomalies and Behavioral Changes

    Jupyter Notebook

  5. Chapter-19-Knowledge-Assessment-Lab Chapter-19-Knowledge-Assessment-Lab Public

    Jupyter Notebook

  6. Chapter-18-Classification-Techniques-For-Fraud-Detection Chapter-18-Classification-Techniques-For-Fraud-Detection Public

    Classification-Techniques-For-Fraud-Detection

    Jupyter Notebook