Chongxian's Post Expo Summary

If you were to redo the project from Fall term, what would you tell yourself?

I would tell myself to learn from previous Machine Learning projects in the beginning. I would also tell myself to learn Python, learn sci-kit learn library and how to use it. And I would tell myself I don't need to focus on the implementation of Machine Learning methods at beginning.

What's the biggest skill you've learned?

I got myself reviewed a lot of Python and actually use it in my other homework/projects. It's very useful.

What skills do you see yourself using in the future?

Python definitely, and sci-kit learn very likely. Also LaTeX and documentation skills I learned in this class.

What did you like about the project, and what did you not?

I like the project's powerful prediction. Someone we met in the EXPO actually generate a super accurate prediction using our module. The part I don't like it that this project is better to ran locally because if there are many users generating the prediction at the same time it is going to cause problems in computing power. So our module is not ideal to host online.

What did you learn from your teammates?

I learned from Alex how to write good documentation. I learned from Jake to use online resources and good researching skills.

If you were the client for this project, would you be satisfied with the work done?

I would be satisfied. The functions are met and the results are visualized. The speed is not very fast but that's due to the large data and machine learning nature.

If your project were to be continued next year, what do you think needs to be working on?

Make visualization more appealing. For education purpose, add more algorithms and an introduction for the algorithms so the users can learn more.