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https://github.com/1farz1/league-of-legends-win-predector
A ML Model That Predict The Percentage of Winning for Each Blue And Red Team in League of Legends
https://github.com/1farz1/league-of-legends-win-predector
jupyter-notebook league-of-legends machine-learning predective-modeling python3
Last synced: 3 months ago
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A ML Model That Predict The Percentage of Winning for Each Blue And Red Team in League of Legends
- Host: GitHub
- URL: https://github.com/1farz1/league-of-legends-win-predector
- Owner: 1FarZ1
- Created: 2024-03-06T17:35:09.000Z (11 months ago)
- Default Branch: main
- Last Pushed: 2024-06-17T14:29:19.000Z (8 months ago)
- Last Synced: 2024-06-17T16:14:26.559Z (8 months ago)
- Topics: jupyter-notebook, league-of-legends, machine-learning, predective-modeling, python3
- Language: Jupyter Notebook
- Homepage:
- Size: 3.78 MB
- Stars: 25
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# league-of-legends-winner-predector
A ML Model That Predict The Percentage of Winning for Each Blue And Red Team In League Of Legends , Currently The Accuracy is quite low for The Lack of data , but It Still in Maintainance
## What is League Of Legends
- League of Legends is a team-based game with over 140 champions to make epic plays with.
- Moba Style Game## Contains
- Notebook For Detailled Explanation
- Prod File which contain A code for a local server to test the model using the streamlit library and user friendly interface## User Interface
![image](https://github.com/1FarZ1/league-of-legends-win-predector/assets/91225280/95a64b14-d3dd-46d8-8fc0-ccde9d61406f)## Status
### The Model is Still in Maintainance , The Accuracy is Quite Low , But It's Still in Development , Currently Looking for More Data to Train The Model , And Trying to Find The Best Model to Use
## Installation
```bash
pip install -r requirements.txt
```## Usage
### You can Try Custom Input by Providing The Champions Id and The Model Will Predict The Percentage of Winning for Each Blue And Red
## Contributing
Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.