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Fraud-Detection

This Repository contains my solution to the ML challenge of Plentina.

Directory structure:

│
├── data                                   <- Directory for the dataset transactions_train.csv
│
│
├── lib
|   ├── constants.py.example              
|   ├── transaction.py                     
│   └── utils.py                           
│
├── notebooks                              <- Jupyter notebooks
│   ├── Exploratory Data Analysis.py    

│
├── app.py                                 <- FastApi application
|
├── dockerfile                             
│
└── 

Google Slide Link https://docs.google.com/presentation/d/1cDwuk6Xg8T_pqXNh3YTkG3odmirkz_Gxq8_dZEYpWuw/edit#slide=id.p

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