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# FIFA 19 Data Analysis⛹️‍♂️
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This project dives into the world of FIFA 19 which is a popular football game, to analyze player attributes, team dynamics, and overall game performance. By exploring the rich dataset, we aim to uncover patterns, trends, and insights that can help players, gamers, and analysts understand what makes a player or team successful in the game.
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### Objective
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- Analyze player attributes to determine what characteristics contribute to high overall ratings.
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- Explore team compositions and find patterns that lead to better performance on the field.
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- Understand the relationship between various in-game attributes like speed, strength, and skills, and how they affect gameplay.
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### Outcome :
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- Analysts & Researchers: Study the underlying mechanics of the game and how it mirrors real-world football strategies.
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- Gaming Community: Provide insights to help players build better teams in various game modes like Ultimate Team or Career Mode.
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## To view the analysis 👉 [FIFA 19 Analysis](https://github.com/Archi20876/machine-learning-repos/blob/main/Data%20Analysis/FIFA%2019%20Dataset%20Analysis/Model/FIFA_19_Dataset_Analysis.ipynb)
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## To view the Dataset 👉 [FIFA_19.csv](https://github.com/Archi20876/machine-learning-repos/blob/main/Data%20Analysis/FIFA%2019%20Dataset%20Analysis/DataSet/Data.csv)
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For more information please refer to [Model](https://github.com/Archi20876/machine-learning-repos/tree/main/Data%20Analysis/FIFA%2019%20Dataset%20Analysis/Model)

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