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https://github.com/shiqilu77/machinlearning-lol_gaming
a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc
https://github.com/shiqilu77/machinlearning-lol_gaming
league-of-legends machine-learning numpy supervised-learning
Last synced: about 1 month ago
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a supervised model that predicts the match winning rate in LOL game based on the lineups of both sides. Implemented data processing by multiple python API including sklearn, NumPy, pandas, and by feature encoding, kNN, Synthetic Minority Oversampling Technique, etc
- Host: GitHub
- URL: https://github.com/shiqilu77/machinlearning-lol_gaming
- Owner: ShiqiLu77
- Created: 2022-12-08T20:41:14.000Z (about 2 years ago)
- Default Branch: main
- Last Pushed: 2022-12-12T03:08:50.000Z (about 2 years ago)
- Last Synced: 2024-11-09T17:40:38.576Z (3 months ago)
- Topics: league-of-legends, machine-learning, numpy, supervised-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 135 MB
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 0
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Metadata Files:
- Readme: README.md