What it does
Produced visualizations and highlighted key traits that we think can be used to improve player experience and matchmaking as well as side-stepping some problems with server splits to keep people grouped with those they will have the best interactions with.
How we built it
Python, Clustering Algorithms, Various Data Analysis and Visualization Techniques
Challenges we ran into
Computation time, size of dataset, extracting most salient information and considering many different player types/goals, and first time working with cloud computing!
Accomplishments that we're proud of
Applied chunking/streaming algos, data analysis and clustering techniques, fought through GitHub, Ssh, and other external connection troubles.
What we learned
Skills dealing with larger, more diverse datasets, figured out how to use RunPod at least a bit, better prompting for ChatGPT.
Built With
- chatgpt
- clustering
- machine-learning
- matplotlib
- python
- scikit-learn
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