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UTSAVS26 / PyVerse

PyVerse is an open-source collection of diverse Python projects, tools, and scripts, ranging from beginner to advanced, across various domains like machine learning, web development, and automation.
https://sites.google.com/view/pyverse-python-universe/
MIT License
69 stars 196 forks source link

[Code Addition Request]: Credit Card Fraud Detection #497

Open inkerton opened 2 weeks ago

inkerton commented 2 weeks ago

Have you completed your first issue?

Guidelines

Latest Merged PR Link

https://github.com/UTSAVS26/PyVerse/pull/395

Project Description

This project investigates credit card transaction data to identify patterns and features associated with fraudulent activity. This project consists of heavy data exploratoration

Data Exploration:

Transaction Time Distribution: Analyzes the distribution of transaction times for both fraudulent and legitimate transactions. Hourly Trends: Explores hourly trends in total transaction amount, number of transactions, average transaction amount, minimum and maximum transaction amounts, and median transaction amounts. This helps identify potential peak fraud periods. Transaction Amount Distribution: Compares the distribution of transaction amounts for fraudulent and legitimate transactions using boxplots. Descriptive Statistics: Provides descriptive statistics for transaction amounts for both classes (fraudulent and legitimate).

Full Name

Janvi or inkerton

Participant Role

GSSOC

github-actions[bot] commented 2 weeks ago

🙌 Thank you for bringing this issue to our attention! We appreciate your input and will investigate it as soon as possible.

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