This project aims to develop a machine learning model that predicts which YouTube videos will trend based on early engagement metrics, video metadata, and external factors such as news events and social media trends. The model helps content creators and YouTube strategists understand the dynamics of video virality to optimize their content for better reach and engagement.
- Python 3.8+
- Pandas, NumPy, Scikit-Learn
- Access to YouTube Data API
- Access to Google Trends data
Contributions are welcome. Please fork the repository and submit pull requests to contribute.
This project is licensed under the MIT License - see the LICENSE file for details.
For contributions to this project, please refer to the GitHub profile of our collaborator:
Thanks to contributors and supporters of the project.