Welcome to the Data Science Projects Repository! This repository is a collection of various data science projects that demonstrate practical applications of data analysis, machine learning, and data visualization.

1. Introduction
2. Project List
3. Usage
4. Contributing
5. License

This repository is meant to showcase a variety of data science projects, ranging from exploratory data analysis to advanced machine learning models. Each project is organized in its own directory and includes all necessary code, data, and documentation.

1. Car Price Prediction: Prediction of car prices.

2. Healthcare Insurance Expences: Expences of health

3. Customer Shopping Trends Dataset: Shopping Trends

4. ...

To use any of the projects in this repository, follow the instructions provided in the respective project directories. Each project directory contains a README file with specific information on how to set up the environment, run the code, and interpret the results.

Laura Wangari

Paul Ndirangu

If you'd like to contribute to this repository by adding a new project or improving an existing one, please follow these steps:

1. Fork this repository.
2. Create a new branch for your project: git checkout -b new-project.
3. Add your project to the repository with proper documentation, code, and data.
4. Commit your changes: git commit -m "Added new project: Your Project Name".
5. Push to the branch: git push origin new-project.
6. Submit a pull request.

Please make sure to follow the project structure and naming conventions outlined in the Contributing Guidelines.

Reach me at [email protected]

This repository is licensed under the MIT License - see the LICENSE file for details. Feel free to use, modify, and distribute the code for your own projects. If you use this repository or its code, please provide proper attribution.