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Credit Card Fraud Detection Using Machine Learning With Python project in Python.

Python project   Last updated on - August 2, 2020
credit-fraud-detection
Alfa Hack
Alfa Hack
python Cyber Security Ethical Hacking IOT C 
4 Reviews
5
35938 View
4137 Downloads
 35938
 8
 4137

In this page Credit Card Fraud Detection Using Machine Learning With Python project is a desktop application which is developed in Python platform. This Python project with tutorial and guide for developing a code. Credit Card Fraud Detection Using Machine Learning With Python is a open source you can Download zip and edit as per you need. If you want more latest Python projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. This project can edit using a JUPYTER NOTEBOOK IDE. Following Python project contains all the important features which can be in use for the BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering, Computer Science students and Devloper for their college projects. This script developed by Alfa Hack. This desktop application 100% working smooth without any bug. It is developed using Python Machine Learning and Database Local storage. This software code helpful in academic projects and research paper for final year computer science. To download Credit Card Fraud Detection Using Machine Learning With Python project in Python with source code files, please scroll down to the bottom of this page for the Download Zip file of source code button.

About project

project Name

Credit Card Fraud Detection Using Machine Learning With Python

Project Complexityadvanced
Duration15 Days
project ID3905
Developer NameAlfa Hack
Publish DateAugust 2, 2020
project PlatformPython
Programming LanguageFor this particular Python project, Python Machine Learning is required
Front EndGUI for desktop apps PyQT, Tkinter, Kivy, wxPython, Bottle/ Web apps - HTML, CSS, JS, Bootstrap
Back EndPython, MySQL, Oracle, MariaDB, PostgreSQL, MongoDB, Microsoft SQL Server
IDE ToolJUPYTER NOTEBOOK
Database IntegrationLocal storage
project Typedesktop Application
No of project Download4137
project Total View35938
Today Trends1713
Current Month Trends1854
Last Month Trends317

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Features of the Credit Card Fraud Detection Using Machine Learning With Python project

We will implement the following feature in the Python Credit Card Fraud Detection Using Machine Learning With Python Project:
It is vital that credit card companies are able to identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Such problems can be tackled with Data Science and its importance, along with Machine Learning, cannot be overstated. This project intends to illustrate the modelling of a data set using machine learning with Credit Card Fraud Detection. The Credit Card Fraud Detection Problem includes modelling past credit card transactions with the data of the ones that turned out to be fraud. This model is then used to recognize whether a new transaction is fraudulent or not. Our objective here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications. Credit Card Fraud Detection is a typical sample of classification

User modules and function of Credit Card Fraud Detection Using Machine Learning With Python

We will implement the following functionalities in the Python Credit Card Fraud Detection Using Machine Learning With Python Project:

Software requirement to run this project

Install latest Python for Windows / Mac / Linux. IDE for python : PyCharm, Visual Studio Code, Sublime Text, Spyder, Thonny, Atom, IDLE, Emacs, Jupyter, PyDev, Vim, Visual Studio, Eclipse, PyDev, Eric, Code editing, PyScripter DBMS : MySQL, Oracle, MariaDB, PostgreSQL, MongoDB, Microsoft SQL Server As per Project requriments.

Hardware requirement to run this project

1. laptop/desktop. 2. minimum 8GB RAM. 3. minimum 250GB SDD for high preforms.

How to install the project?

After you finish downloading the project, unzip the project file.

We need to import the code into the jupyter notebook

How to import database?

we have credit card .csv file that is the database file and which is already imported into code

Why a download Credit Card Fraud Detection Using Machine Learning With Python project from kashipara?

Downloading the Credit Card Fraud Detection Using Machine Learning With Python project from Kashipara is a best choice for students, beginners, and developers looking for a reliable, well documented, and ready to use project in Python.

Top benifit to Download our project over other website:

  • Our Credit Card Fraud Detection Using Machine Learning With Python Source Code in Python completly working. This project easy to understand and fully customizable as per your requriments.
  • Free Download our Credit Card Fraud Detection Using Machine Learning With Python projects.
  • Comprehensive Documentation:
    • We provide project Synopsis
    • Credit Card Fraud Detection Using Machine Learning With Python project Abstract in PDF and PPT formats download in reports.
    • Detailed Project Report
  • UML & Technical Diagrams Included:
  • This project Ideal for Academic Projects Perfect for B.E., B.Tech, MCA, BCA, BSc CS, and IT students
  • 100% Working Project – Tested and bug free.
  • Developed for Learning & Research – A strong foundation for building advanced Credit Card Fraud Detection Using Machine Learning With Python applications

How to create diagram?

Creating diagrams like Class Diagrams, Use Case Diagrams, Entity–Relationship (ER) Diagrams, Data Flow Diagrams (DFD), and Sequence Diagrams is essential for designing and understanding software systems. Here’s a proper guide to help you get started with each type:

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