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Build machine learning models on credit card transaction dataset to predict fraud transactions

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Credit Card Fraud Project

Goal of this Project

  • Practice building different machine learning models to detect fraud
  • Understand how to evaluate different models and improve models

Data Source

The data can be found on Kaggle. Due to privacy issue, PCA was conducted on the dataset so we don't have the original features. The only original features we have are: time, amount and flag that can indicate fraud or not.

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Build machine learning models on credit card transaction dataset to predict fraud transactions

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