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https://github.com/corvuscodex/basketballai

Basketball match winner prediction artificial intelligence
https://github.com/corvuscodex/basketballai

ai artificial-intelligence basketball basketball-ai basketball-ai-prediction basketball-analysis basketball-artificial-intelligence basketball-prediction basketball-scores basketball-statistics basketball-stats basketballai

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Basketball match winner prediction artificial intelligence

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README 

        


  




## BasketballAi



BasketballAi is a basketball prediction artificial intelligence that uses machine learning to predict the winning team of the next match.



## For people without technical experience you can buy the compiled standalone application for windows from here:

https://www.buymeacoffee.com/CorvusCodex/e/165454



## Installation



To install BasketballAi, you will need to have Python 3.x and the following libraries installed:

- numpy

- tensorflow

- keras

- art



You can install these libraries using pip by running the following command:



'''pip install numpy tensorflow keras art'''



## Usage



To use BasketballAi, you will need to have a data file containing past football results. This file should be in a comma-separated format, with each row representing a single match and the numbers, rows are in new line without comma. Team 1 must be on the left and team 2 on the right side.



Once you have the data file, you can run the `basketballai.py` script to train the model and generate prediction. The script will print the generated winner to the console.



If dataset is needed you can order one from here

https://www.buymeacoffee.com/CorvusCodex/



## Support my work & Research:


>BTC: bc1q7wth254atug2p4v9j3krk9kauc0ehys2u8tgg3


>ETH & BNB: 0x68B6D33Ad1A3e0aFaDA60d6ADf8594601BE492F0


>Buy me a coffee: https://www.buymeacoffee.com/CorvusCodex



## Disclaimer



The code within this repository comes with no guarantee, the use of this code is your responsibility. I take NO responsibility and/or liability for how you choose to use any of the source code available here. By using any of the files available in this repository, you understand that you are AGREEING TO USE AT YOUR OWN RISK. Once again, ALL files available here are for EDUCATION and/or RESEARCH purposes ONLY.

Please keep in mind that while Basketballai uses advanced machine learning techniques to predict next match result, there is no guarantee that its predictions will be accurate. Football results are inherently random and unpredictable, so it is important to use Basketballai responsibly and not rely solely on its predictions.



MIT License



Copyright (c) 2023 CorvusCodex



Permission is hereby granted, free of charge, to any person obtaining a copy

of this software and associated documentation files (the "Software"), to deal

in the Software without restriction, including without limitation the rights

to use, copy, modify, merge, publish, distribute, sublicense, and/or sell

copies of the Software, and to permit persons to whom the Software is

furnished to do so, subject to the following conditions:



The above copyright notice and this permission notice shall be included in all

copies or substantial portions of the Software.



THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR

IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,

FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE

AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER

LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,

OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE

SOFTWARE.