This project aims to predict credit card approval using machine learning techniques. By analyzing various features and historical data, the model will provide a prediction on whether a credit card application will be accepted or rejected.
The dataset used for this project contains information about credit card applications, including attributes such as income, age, employment status, and credit history. It is important to note that the dataset used is for demonstration purposes only and does not contain real customer data.
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Clone the repository:
git clone https://github.com/davidsequera/don_armando.git
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Install the required dependencies:
pip install -r requirements.txt
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Preprocess the data:
python preprocess.py
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Train the model:
python train.py
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Make predictions:
python predict.py
The model achieved an accuracy of X% on the test set, demonstrating its ability to predict credit card Approval. Further analysis and evaluation of the model's performance can be found in the results file.
Contributions are welcome! If you would like to contribute to this project, please follow the contribution guidelines.
This project is licensed under the MIT License.