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Volver a FIFA20 Data Exploration using Python

Opiniones y comentarios de aprendices correspondientes a FIFA20 Data Exploration using Python por parte de Coursera Project Network

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By the end of this project, you will learn to use data Exploration techniques in order to uncover some initial patterns, insights and interesting points in your dataset. We are going to use a dataset consisting 5 CSV files, consisting of the data related to players in FIFA video game. We will clean and prepare it by dropping useless columns, calculating new features for our dataset and filling up the null values properly. and then we will start our exploration and we'll do some visualizations. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

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1 - 7 de 7 revisiones para FIFA20 Data Exploration using Python

por Wan N A B W T

30 de sep. de 2020

por BURHAN Y

24 de sep. de 2020

por Abdullayev S M

18 de sep. de 2020

por Harshvardhan M

14 de sep. de 2020

por Michael K

24 de sep. de 2020

por Maksim M

17 de sep. de 2020

por Sean S

12 de oct. de 2020