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Abstract: Preventing credit card fraud is the most common problem in developed countries. When a credit card is stolen, it is used for dishonest purposes, a fraudster uses the credit card information for his own purposes, and this is called credit card theft. To detect fraudulent online transactions, the new technology employs a variety of methods. To increase the consistency of the proposed scheme, we used a machine learning algorithm to find suspicious transactions. It is based on a supervised learning algorithm. After the dataset is categorized, analyzed, and visualized, a confusion matrix is created. For this purpose, two of the most important algorithms were applied, namely logistic regression and random forest.
This is a Jupyter based project
Coding: Python
Records: CSV
नमस्ते (Namaste), I am Vatshayan!
I am a developer from India
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PROJECT PRICE: Rs. 2000 / USD 49
Project scope:
1. Summary
2. PowerPoint
3. Research paper
4. Code
5. Explanatory video
6. Documents
7. Report
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NOTE: PROJECT SERVICES ARE PAID!!!
PROJECT PRICE: Rs. 2000 / USD 49
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