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Time Series Forecasting with the nixtlaverse & TimeGPT 🚀

Welcome to the Time Series Forecasting Examples repository—a community-driven space showcasing the power of Nixtlaverse and TimeGPT for real-world forecasting challenges. Here, we celebrate creativity in time series analysis, and we’d love for you to share your insights with us!

🌟 Contribute Your Example

We’re excited to see what you’ve built! The goal is to provide a clean, well-explained solution to a specific problem. Your example should be easy for others to follow and reuse, blending both narrative and code to tell your forecasting story.

📝 Example Structure

  • Title: A clear, descriptive title summarizing your forecasting task.

  • Overview: What’s the problem or question you’re addressing, and why is it important? Set the stage for your readers.

  • Key Questions: What are you trying to predict? Example: Which crops should be planted in Mozambique next season, considering future climate data?

  • Approach & Results: Dive into the heart of your work. Share your code, explain your thought process, and walk the reader through your journey, including any obstacles you overcame. Visuals are highly encouraged—graphs, plots, and charts help others grasp your approach at a glance!

  • Conclusion: What did you discover? Were certain methods more effective than others? Summarize your findings and share any ideas for future improvements or follow-up analysis.

🚀 How to Submit Your Example

  1. Fork this repository.
  2. Create a new branch in your fork.
  3. Add your example in the format of your choice (Jupyter, Quarto, RMarkdown).
  4. Submit a pull request to the main branch of this repository.

Once we review your contribution, we’ll merge it and give you full credit! Your work will be shared with our growing community.

🔗 Explore More Examples

We have a rich collection of additional time series forecasting examples in our nixtlaverse. These examples dive deeper into different use cases, showing the versatility of the nixtlaverse and TimeGPT across a wide range of applications. Whether you're looking for insights into specific forecasting techniques or inspiration for your own project, our documentation has you covered!

Make sure to check them out and get inspired!

📢 Share the Love

We encourage you to share your examples across social media, tagging us along the way. Let’s amplify your work and inspire others to dive into time series forecasting!

happy forecasting! 💙

🛠 License

All examples are licensed under CC-BY. When sharing, remember to give attribution to the original creators!

[![CC BY 4.0][cc-by-image]][cc-by]
[cc-by]: http://creativecommons.org/licenses/by/4.0/
[cc-by-image]: https://i.creativecommons.org/l/by/4.0/88x31.png