PyDetecting

It's a program written in Python that focuses on detecting payment fraud. To achieve this goal, it uses several key libraries:

1. Pandas: This library is used to read and manipulate the data set. PyDetecting loads the data and performs cleaning and transformation operations using Pandas.

2. NumPy: PyDetecting uses NumPy to perform matrix operations. This is useful for efficient numerical calculations, such as feature normalization or matrix manipulation.

3. scikit-learn: The scikit-learn library is essential for building and evaluating the machine learning model. PyDetecting uses classification algorithms and evaluation techniques provided by scikit-learn.

PyDetecting combines these tools to process data, build a fraud detection model, and evaluate its performance. Its goal is to improve financial security by identifying suspicious transactions and preventing payment fraud.

First Steps:

1. clone the repository:

git clone https://github.com/GabrielPy28/PyDetecting.git

2. Download the dataset from the following link: dataset, copy and paste the CSV file inside the programe folder, and rename 'dataset.csv'

3. install requirements:

pip install -r requirements.txt

4. Run the program

python detecting.py

Note

If everything is working correctly, the console will print:

-------------------- Printed Results --------------------
['Fraud']