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: about 2 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 (10 months ago)
• Default Branch: main
• Last Pushed: 2024-06-17T14:29:19.000Z (7 months ago)
• Last Synced: 2024-06-17T16:14:26.559Z (7 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.