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As there are many transaction in this digital world I worked on prediction the Fraud in Payment Services using EDA and ML Algorithm.

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Fraud-Prediction

PaySim simulates mobile money transactions based on a sample of real transactions extracted from one month of financial logs from a mobile money service implemented in an African country. The original logs were provided by a multinational company, who is the provider of the mobile financial service which is currently running in more than 14 countries all around the world.

  1. Data split 70-30.
  2. Model used xgboot classifier.
  3. Dataset Link -: https://drive.google.com/file/d/10HL-mIqHqtRiS1BAEKwi9OKm_zvxF1uN/view?usp=sharing

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As there are many transaction in this digital world I worked on prediction the Fraud in Payment Services using EDA and ML Algorithm.

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