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Paysim-Fraud-Detection-using-VAE-and-BNN

The project is devided into 4 parts :

  1. Data pre-processing.
  2. Data Augmentation using VAE.
  3. Classification using BNN.
  4. Results :
    1. Exploring the parameters destributions and plotting examples.
    2. Model evaluation.

P.S : ameliorations which will be made to this notebook in the near future :

  • demystificaiton of each model.
  • re-training the models with the full dataset (12 million data points fully balanced) insead of 16K datapoints.
  • and ofc cleaning and re-structuring for public usage.

Author : Mohamed HMINI from INSEA / M2SI