Personal Finance Analysis

This project aims to promote healthy personal finance, specifically encouraging savings in the Mexican population. Using data science techniques, we analyze spending patterns and create a predictive model to help people make informed decisions about their budget.

Contents

• Introduction:** Context and motivation of the project.
• Methodology:** Description of the methodology used in the data analysis.
• Project Phases:** Phases of the project: Phase 1: Business understanding.
  • Phase 1: Understanding the business
  • Phase 2: Data understanding
  • Phase 3: Data preparation
  • Phase 4: Data Modeling
• Results:** Analysis of the results obtained.
• Conclusions:** Final thoughts and possible future improvements.

Installation

To run this project, follow these steps:

1. Clone the repository:

   git clone https://github.com/tu_usuario/Personal-Finance-Analysis.git
   ```
   

2. Navigate to the project folder:

   cd Personal-Finance-Analysis
   ```
   

3. Install the necessary dependencies:

   pip install -r requirements.txt
   ```
   

Usage

To run the analysis, use the following command:

python main.py
```

Make sure you have the necessary data files in the same folder or modify the path in the code accordingly.

## Contributions

Contributions are welcome. If you wish to contribute to this project, follow these steps:

1. Make a fork of the project.
2. Create your feature branch (`git checkout -b feature/new-feature`).
3. Make your changes and commit (`git commit -m 'Add new feature'`).
4. Push to the branch (`git push origin feature/new-feature`).
5. Open a Pull Request.

## License

This project is under the MIT License - see the [LICENSE](LICENSE) file for details.

## Contact

Diego Fernando Sabillon - A01798446  
Email: [[email protected]](mailto:[email protected])  
LinkedIn: [your LinkedIn profile](https://www.linkedin.com/in/diego-sabillon-9ab601229/)  
GitHub: [your GitHub profile](https://github.com/DiegoS2004