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Main purpose is to detect Fraudulent using credit card transaction dataset using machine learning model.
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Developed a machine learning model to detect fraudulent credit card transactions with 93% accuracy on a dataset of 284,807 transactions. Preprocessed and normalized the data while handling class imbal…
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Problem Description:
Fraudulent transactions are a major threat in banking and insurance, causing substantial financial losses and damaging customer trust. Swift, accurate fraud detection is essentia…
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# Online Payment Fraud Detection using Machine Learning
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This project aims to develop a machine learning model that can detect online payment f…
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should be filled here: https://www.notion.so/dymension/Full-Node-Fraud-Detection-WIP-fda0f065122548a2ac0ecb17927df363?pvs=4
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### Have you completed your first issue?
- [X] I have completed my first issue
### Guidelines
- [X] I have read the guidelines
- [X] I have the link to my latest merged PR
### Latest Merg…
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**Endpoint: /api/admin/users/add**
Method: POST
Description: Adds a new admin with specified permissions.
Authorization Required: Yes
**Parameters:**
First Name: Admin's first name.
Last Name:…
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Develop an Algo to detect potential fraud in real-time by leveraging features like
1. device information,
2. last login data
3. historical fraud data
from S3.
Details:
1. Access and integrate h…
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SOM is used for unsupervised Deep learning and I will use that to create a credit card fraud detection system to minimize frauds.