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Fraud-Detection

Using Machine Learning Algorithms to determine whether a transaction is fraudulent or legitimate, using the Undersampling method to deal with heavily unbalanced dataset

Steps

  1. Data Exploration
  2. Sampling Data
  3. Data Preprocessing
  4. Evaluating Machine Learning Models (Scaling, Cross-validation)

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Using Machine Learning Algorithms to determine whether a transaction is fraudulent or legitimate

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