Brunopaes / sherock-holmes-picpay

This project aims on exploring transactions data - learning which variables are statically relevant - and create a model for predicting new transactions.

Sherock Holmes: Picpay challenge

Optimized for python 3.6+

This is a Data Science challenge - purposed by Picpay. The main objective is the construction of a statistical/computational model for predicting frauds.

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Dependencies

For developers, python requirements could be find in the project's root. For installing the requirements, in your venv or anaconda env, just run the following command:

pip install -r requirements.txt

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Project's Structure

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└── picpay-sherock_holmes
    ├── data
    │   ├── img
    │   └── datasource.csv
    ├── docs
    │   ├── CREDITS
    │   ├── instructions.pdf
    │   ├── relatory_non_editable.pdf
    │   └── relatory_editable.pdf
    ├── src
    │   ├── __init__.py
    │   └── analysis.ipynb
    ├── .gitignore
    ├── LICENSE
    ├── README.md
    └── requirements.txt

Directory description

• data: The data dir. Group of non-script support files.
• docs: The documentation dir.
• src: The scripts & source code dir.

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