Machine Learning to analyze League of Legends

Topic 4
Name: 廖貞傑 Kirby
Student ID: D0780835
Reference:https://business.blogthinkbig.com/machine-learning-to-analyze-league-of/
Author: David Heras and Paula Montero, and Javier Carro
In 2020, more and more computer games, mobile phone games, and Xbox or even Switch. Through these different devices and platforms, more and more people have interested in different styles of different games. In all of the computer games, there is a game famous for a long time for more than five years, until now, it still has the highest online viewers at the same time. No matter how many computer games have been popping up, In the player’s mind, League of Legends is the game that accompanies them grew up. Talks to the League of the Legends, we need to mention one of the world-famous players. The player which cannot be forgotten is Faker, a world-famous middle player, he has so many highlight plays and lead his team to the world champion, he has three world champions ring. In this article they analyze the different teams’ performance, they give up using personal performance because some of the players may be changed by the coach. 
They calculate all the variables include gold, CS, wards, objectives, and KDA ratios, and even streak to predict which team will win the game. In before, I have seen an article about how to win the game, although he is not good at the game, he uses big data analysis to analyze how pro-gamers win the game. He concludes a timeline in which time the player should do what action. Follow these steps, it will be easier for players to win the game. Nowadays big data is not only used in technology but also gaming.

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