FIFA world cup is the dream of every soccer player. During the tournament, predicting the result is a very hot topic, although unexpected and dramatic moments are very common in sports, especially soccer.

You can make the World Cup prediction in this project! You can also know what is important in soccer from data!

With the development of data science, prediction using data-driven machine learning is feasible. Even for the very uncertain sports game, the predicted results give out some hints. We want to use machine learning methods to predict the game result in the World Cup, but how?

The main problem here is how to collect the related data and how to deploy the machine learning method to the problem.
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For the dataset:
Training Input: In most sports games, it is a battle between the players. Thus, if we have the data about the players, we have the input, the player's rating score. We are using the player data pool of the latest version of the FIFA-sponsored video game FIFA23, and use the lineup of each game as the input.
Training Output: We choose the result of the games between the national team which will attend in 2022 World Cup, which is available online.
Prediction Input: The lineup of each team in the World Cup, which is assumed by the author using the recent game and the player ratings.
We can get the predicted result based on these data, and how to apply the machine learning method. Moreover, we will analyze the machine learning model using LIME and SHAP
Here, we can use the IBM Skills Network Labs environment, which is very easy to use, and we have the step-by-step code included. The project is very simple; even the first-time coder can conduct the modelling.

In this project, the aim is very direct; we are going to predict the World Cup games using machine learning methods. 
You could learn:

Users need to know what python and soccer are to start the project. Even the beginner could start this guided project. 
We recommend you use IBM Skills Network Labs environment for this guided project. Everything you need to complete this project will be provided to you via the Skills Network Labs. The platform works best with current versions of Chrome, Edge, Firefox, Internet Explorer or Safari.