This repository contains datasets, Jupyter notebooks, and scripts for various machine learning and data analysis projects. It aims to provide a comprehensive resource for data scientists and researchers to explore, analyze, and model data across different domains.

• data/: Contains datasets used for machine learning and data analysis, divided into:
  • raw/: Raw, unprocessed data files.
  • processed/: Cleaned and preprocessed data ready for analysis.
• notebooks/: Jupyter notebooks detailing data analysis, visualization, and machine learning models.
• src/: Source code for data processing and analysis scripts.
• models/: Saved machine learning models.
• docs/: Additional documentation and reports on findings.

Each dataset within the data/ folder is described in terms of its source, content, size, and specific usage within the project.

Clone the repository and install required dependencies:

git clone https://github.com/yourusername/dataproject.git
cd dataproject
pip install -r requirements.txt

Follow the instructions in each notebook or script for specific usage details. To run a Jupyter notebook:

jupyter notebook

Contributions are welcome! Please submit issues and pull requests with any enhancements, bug fixes, or suggestions.

This project is licensed under the MIT License - see the LICENSE file for details.

Thanks to all contributors and data providers for making this project possible.