Inspiration
We had never used machine learning in a project. So this would be a fun and educational project.
What it does
This shows you the images of what our machine learning model predicted the ice concentration would be on the Great Lakes.
How we built it
We used the ice concentration data given to create a predictive model using XGBoost. We used Matplotlib to create images of the data that the model predicted. We then used HTML and JavaScript to create a website that displayed the images in a visually appealing manner.
Challenges we ran into
We had trouble formatting the data in a way that it could be input into our machine learning model. Also, we had never used XGBoost or any other machine learning model, so we had to learn how it worked.
Accomplishments that we're proud of
Getting something this complicated to work and look nice. We're also proud of how we were able to take a big problem, break it down, and come up with a clear solution.
What we learned
We learned how XGBoost works and how machine learning models work in general. We also learned how to use Matplotlib.
What's next for SJ Ice Analyzer
We would like to format the water temperature and weather data to train the machine learning model. So it can make more accurate predictions.
Built With
- css
- html
- javascript
- python
- xgboost
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