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Estimating credit card fraudulent transaction using Logistic Regression

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Fraud Detection - Logistic Regression Model

Detect fraudulent transaction based on a logistic regression model

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Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes.

Prerequisites

Linux system: Ubuntu 16.04 (Xenial) or later
python 2.7.12 
pip
Ipython ( Jupyter-notebook )

Installing

Clone source code from git repo

$ git clone https://github.com/fernandorovai/FraudDetector-Modeling

Install python dependencies via pip

$ pip install -r requirements.txt

Running

Start jupyter notebook

$ cd FraudDetector-Modeling
$ jupyter-notebook Modeling.ipynb

Built With

  • Pip - Dependency Management
  • Pandas - Data structures and data analysis tools
  • Sklearn - Simple and efficient tools for data mining and data analysis
  • Numpy - Package for scientific computing

Authors

  • Fernando Rodrigues Jr - Initial work - Fernando

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Estimating credit card fraudulent transaction using Logistic Regression

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