Giter Site home page Giter Site logo

credit-card-fraud-detection's Introduction

Credit Card Fraud Detection

Financial losses caused by fraudulent credit card activities are a major problem. Credit card fraud detection (CCFD) requires finding fraudulent transactions out of millions of daily transactions. The ability of ML techniques to effectively address the challenges raised by CCFD has led to a large and growing body of research in the last decade.

Machine Learning for Fraud Detection

A wide number of ML techniques can be used to address the problem of CCFD. This repository contains a Jupyter Notebook that contains code for models that might be used to address the problem of CCFD. This project is one of the projects I have done in my course of data science and machine learning.

Tools, Libraries and Frameworks

pandas python scikit_learn seaborn

credit-card-fraud-detection's People

Contributors

somu786 avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.