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https://github.com/thecoderpinar/credit-card-fraud-detection-project

This project focuses on the detection of credit card fraud using various data science and machine learning techniques. The dataset includes a record of credit card transactions over a specific period, with the goal of accurately identifying fraudulent activities. ๐Ÿš€โœจ
https://github.com/thecoderpinar/credit-card-fraud-detection-project

anamoly-detection classification-algorithms credit-card-transactions data-analysis data-preprocessing data-science data-visualization fraud-detection machine-learning python

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This project focuses on the detection of credit card fraud using various data science and machine learning techniques. The dataset includes a record of credit card transactions over a specific period, with the goal of accurately identifying fraudulent activities. ๐Ÿš€โœจ

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Credit Card Fraud Detection


A comprehensive project utilizing data science and machine learning to detect credit card fraud.


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## ๐Ÿš€ About The Project

[![Product Name Screen Shot][product-screenshot]](https://example.com)

This project aims to utilize data science and machine learning techniques to identify instances of credit card fraud. By examining various features and patterns within the dataset, the goal is to accurately distinguish fraudulent transactions from genuine ones.

## โš™๏ธ Built With

- [Python](https://www.python.org/)
- [Pandas](https://pandas.pydata.org/)
- [NumPy](https://numpy.org/)
- [Matplotlib](https://matplotlib.org/)
- [Seaborn](https://seaborn.pydata.org/)

## ๐Ÿ Getting Started

To get a local copy up and running, follow these simple steps.

### Prerequisites

This is an example of how to list things you need to use the software and how to install them.

- Python 3.6+
- Jupyter Notebook
- etc.

### Installation

1. Clone the repo
```sh
git clone https://github.com/ThecoderPinar/Credit-Card-Fraud-Detection-Project.git
2. Install required packages
```sh
pip install -r requirements.txt

### Usage
Use this space to show useful examples of how a project can be used. Additional screenshots, code examples, and demos work well in this space. You may also link to more resources.

For more examples, please refer to the Documentation

### Roadmap
See the open issues for a list of proposed features (and known issues).

### Contributing
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

### License
Distributed under the MIT License. See LICENSE for more information.

### Contact
Your Name - [email protected]

Project Link: https://github.com/ThecoderPinar/Credit-Card-Fraud-Detection-Project