Inspiration
As the league of legends players, we have a question that remained unsolved for a very long period of time. How can we increase our winning rate? We keep wondering if there is any way we can increase our winning rate to the largest extent by manipulating some game features and attributes
What it does
We conduct data analysis and machine learning to find out the relationship between champion's winning rate and other factors related to champions
How we built it
We use ed workspace as the main development environment and use python, including pandas and sklearn to conduct data analysis
Challenges we ran into
We found data cleaning and feature engineering took us large amount of time
Accomplishments that we're proud of
We understand that in order to win in a game, we need to focus more on skill practice, as the champion itself is not the determinants of the winning rate
What we learned
We learned practical skills about data analysis and machine learning, as well as python
What's next for Analysis of League of Legends champion attributes
We'll collect more data and also analyze other features in the game to find more detailed relationship
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