This Repository contains my solution to the ML challenge of Plentina.
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├── data <- Directory for the dataset transactions_train.csv
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├── lib
| ├── constants.py.example
| ├── transaction.py
│ └── utils.py
│
├── notebooks <- Jupyter notebooks
│ ├── Exploratory Data Analysis.py
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├── app.py <- FastApi application
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├── dockerfile
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└──
Google Slide Link https://docs.google.com/presentation/d/1cDwuk6Xg8T_pqXNh3YTkG3odmirkz_Gxq8_dZEYpWuw/edit#slide=id.p