"Project Data Science credit_card_fraud"

By: Miguel Carvajal.

contact: m.angel9106@gmail.com

Version: 1.0.0

This dataset contains credit card transactions made by European cardholders in the year 2023. It comprises over 550,000 records, and the data has been anonymized to protect the cardholders' identities. The primary objective of this project is to generate of fraud detection algorithms and models to identify potentially fraudulent transactions.

Prerequisites

• Anaconda >=4.x

Create and activate environment

The environment is created automatically, so you only need to activate it. verify that the environment is created with the following command:

conda env list

to activate the environment:

conda activate credit_card_fraud

Licence

This project has The MIT License (MIT) Copyright (c) 2023, Miguel Carvajal

Project organization

credit_card_fraud
    ├── data
    │   ├── processed      <- The final, canonical data sets for modeling.
    │   └── raw            <- The original, immutable data dump.
    │
    ├── notebooks          <- Jupyter notebooks. Naming convention is a number (for ordering),
    │                         the creator's initials, and a short `-` delimited description, e.g.
    │                         `1.0-project-initial-data-exploration`.
    │
    ├── .gitignore         <- Files to ignore by `git`.
    │
    ├── environment.yml    <- The requirements file for reproducing the analysis environment.
    │
    └── README.md          <- The top-level README for developers using this project.