This repository contains the files require to build a model to detect fraudulent transactions.
The repo is structured as follows:
- data: Folder with the dataset in
parquetformat. - EDA: Folder with a
Jupyer Notebookfile which contains an Exploratory Data Analysis. - model: Folde with a
Jupyter Notebookfile to build and evaluate different models. - app: Folder with all the components require to build an API and server the model predictions (inferences)