FIFA19-Player-and-Team-Analysis-and-Value-Predict

FIFA19-Player-and-Team-Analysis-and-Value-Predict

Ishan-Kotian

The FIFA 19 dataset that has been used for this analysis provides statistics of about 18000 players on over 90 different attributes. These attributes are optimal indicators to determine the performance of a player at a particular playing position.

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2 Watchers
Jupyter Notebook Language
mit License
Cost to Build
$2.6K
Market Value
$935

Growth over time

3 data points  ·  2021-08-06 → 2022-02-02
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What is the Ishan-Kotian/FIFA19-Player-and-Team-Analysis-and-Value-Predict GitHub project? Description: "The FIFA 19 dataset that has been used for this analysis provides statistics of about 18000 players on over 90 different attributes. These attributes are optimal indicators to determine the performance of a player at a particular playing position.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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