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.