Credit Card Fraud Detection

Overview

Credit Card Fraud Detection

image


For this project, I used the datasets from the kaggle competition called IEEE-CIS Fraud Detection. The competition aims to improve fraud prevention system by building fraud detection models based on Vesta Corporation's real-world e-commerce transactional data, which contains information from device type to product features. My personal goal for this project is to not only explore the data and build models, but to also build an API server with retrainable model. To achieve this goal, I used fastapi, lightgbm and ray tune.

Also, I decided to develop this project to be the same as how data-related projects are developed in real-world scenarios, wherein the end goal of development is a project that is feasible for production. Therefore, I have put efforts on creating:

  1. Exploratory Data Analysis (EDA) in the notebooks/ folder;
  2. An API Server inside the api/ folder;
  3. Files for deployment such as Dockerfile and docker-compose.yml;
  4. Documentations in the docs/ folder; and
  5. Some necessary scripts in scripts/ folder.

Services

I have two services: app and script.

App

image The app service is a machine learning API that is open on port 8000. I used fastapi for the API server, so you can check it on http://localhost:8000/docs after you run the app service.

Scripts

image The script sends the request for the predictions on new sets of data, such as the kaggle testing data. After the script get all the responses, files will be written on /tmp/submission.csv (on host and container), but this part can take a lot of time. It is suggested to use docker logs -f lightgbm-project-demo_script_1 to check the progress of the process.

How to run this demo

1. Install the requirements

  • docker
  • docker-compose
  • make

2. Download the datasets

Option 1.

Setup kaggle API and use

make init-data

Option 2.

  1. Create a data folder: i.e.
mkdir data
  1. Download the data from kaggle IEEE-CIS Fraud Detection.

  2. Put the ieee-fraud-detection.zip inside the data/ folder.

  3. Unzip ieee-fraud-detection.zip.

3. Build the image

make build

4. Start the services

Start both the two services

docker-compose up

or only start the app service using

docker-compose up app

image

Here are some documentations

How to set up the working environment for this project

API example

Note

If you want to change the hyperparameters search space, you can go to config.py. Or you even want to use other framework the build the model, I think this demo is detail enough as a reference for your project.

About the hyperparameter search algorithm, I am using the random search for this demo but if you want to try other searching algorithm, you can change train.py.

I have another project use Tensorflow as the back bone model. Take a look about the project lightgbm-project-demo

Owner
RayWu
RayWu
Streamlit apps done following data professor's course on YouTube

streamlit-twelve-apps Streamlit apps done following data professor's course on YouTube Español Curso de apps de data science hecho por Data Professor

Federico Bravin 1 Jan 10, 2022
A nonebot2 plugin, send news information in a picture form.

A nonebot2 plugin, send news information in a picture form.

幼稚园园长 7 Nov 18, 2022
Download and process GOES-16 and GOES-17 data from NOAA's archive on AWS using Python.

Download and display GOES-East and GOES-West data GOES-East and GOES-West satellite data are made available on Amazon Web Services through NOAA's Big

Brian Blaylock 88 Dec 16, 2022
Simple script with AminoLab to send ghost messages

Simple script with AminoLab to send ghost messages

Moleey 1 Nov 22, 2021
Мой первый калькулятор!!!!!!

my_first_calculator Первый калькулятор созданный мною на питоне Версия калькулятора: 0.0.4 Как скачать? TERMUX Для скрипта нужен питон, скачиваем pkg

Lesha Russkiyov 2 Dec 29, 2021
A cheat sheet for streamlit

Streamlit Cheat Sheet App to summarise streamlit docs v1.0.0 There is also an accompanying png and pdf version https://github.com/daniellewisDL/stream

Daniel Lewis 221 Jan 04, 2023
This repository containing cross-section cut and fill calculations using Python programming language.

cross-section This repository is containing cut and fill calculations for cross-section using Python programming language. This codes is made to calcu

3 Jun 15, 2022
Is a util for xferring skinning from one mesh to another

maya_pythonplugins skinTo: Is a util for xferring skinning from one mesh to another args: :param maxInfluences: is the number of max influences on the

James Dunlop 2 Jan 24, 2022
An implementation of multimap with per-item expiration backed up by Redis.

MultiMapWithTTL An implementation of multimap with per-item expiration backed up by Redis. Documentation: https://loggi.github.io/python-multimapwitht

Loggi 2 Jan 17, 2022
Data-driven Computer Science UoB

COMS20011_2021 Data-driven Computer Science UoB Staff Laurence Aitchison [ 6 May 16, 2022

An example module hooking system, will be used in PySAMP.

An example module hooking system, will be used in PySAMP.

2 May 01, 2022
A Klipper plugin for accurate Z homing

Stable Z Homing for Klipper A Klipper plugin for accurate Z homing This plugin provides a new G-code command, STABLE_Z_HOME, which homes Z repeatedly

Matthew Lloyd 24 Dec 28, 2022
For radiometrically calibrating and PSF deconvolving IRIS data

irispreppy For radiometrically calibrating and PSF deconvolving IRIS data. I dislike how I need to own proprietary software (IDL) just to simply prepa

Aaron W. Peat 4 Nov 01, 2022
Python solutions to Codeforces problems

CodeForces This repository is dedicated to my Python solutions for CodeForces problems. Feel free to copy, contribute and/or comment. If you find any

Shukur Sabzaliev 15 Dec 20, 2022
DeDRM tools for ebooks

DeDRM_tools DeDRM tools for ebooks This is a fork of Apprentice Harper's version of the DeDRM tools. I've added some of the PRs that still haven't bee

2 Jan 10, 2022
This is a menu driven Railway Reservation Project which is mainly based on the python-mysql connectivity.

Online-Railway-Reservation-System This is a menu driven Railway Reservation Project which is mainly based on the python-mysql connectivity. The projec

Ananya Gupta 1 Jan 09, 2022
lets learn Python language with basic examples. highly recommended for beginners who just start coding.

Lets Learn Python 🐍 Learn python from basic programs. learn python from scratch. 1.Online python compiler: https://www.onlinegdb.com/online_python_co

Subhranshu Choudhury 1 Jan 18, 2022
Start and stop your NiceHash miners using this script.

NiceHash Mining Scheduler Use this script to schedule your NiceHash Miner(s). Electricity costs between 4-9pm are high in my area and I want NiceHash

SeaRoth 2 Sep 30, 2022
Python script for diving image data to train test and val

dataset-division-to-train-val-test-python python script for dividing image data to train test and val If you have an image dataset in the following st

Muhammad Zeeshan 1 Nov 14, 2022
A Company Management System For Python

campany-management Getting started To make it easy for you to get started with GitLab, here's a list of recommended next steps. Already a pro? Just ed

hatice akpınar 3 Aug 29, 2022