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https://github.com/hoangleminh17/ranks-prediction-for-lol

Fear of smurfing in League of Legends? Come here and have a look :)
https://github.com/hoangleminh17/ranks-prediction-for-lol

jupyter-notebook league-of-legends linear-regression predictive-modeling python3

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Fear of smurfing in League of Legends? Come here and have a look :)

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README 

        
# Guess_the_rank

1. Please note that the prediction is given by using linear regression



2. The reason why we guess the rank is sometimes, their rank does not reflect their true ability. (maybe smurfing ? ) or we just do it for fun :)



3. The file data.csv is compiled from the files within Processed_Final_Data and also, it was added the label of rankings as integers. (The code for this step is missing :( )



- For example, the lowest rank is Iron which was encoded to 0, Silver to 1, ..., Challenger to 8



  

![image](https://github.com/user-attachments/assets/25bc5fff-52f0-4dc1-a6a8-04713988dcac)



![image](https://github.com/user-attachments/assets/77bba1b0-3014-4e9c-87cb-2f87e733c698)



![image](https://github.com/user-attachments/assets/98bb8118-9f0c-432d-967b-f6593b5a4ea0)




4. Since this is a group project and we just don't have too much time, the result may dissapoint you guys a bit (final results are just real positive numbers) .



5. If you want to truly see the result, i recommend you to or convert it back to strings from these numbers (you can use floor function) or use this number to guess the rank range they are in



- For example, the point of them is 0.5 => They can be between Iron and Bronze