Chevron Left
返回到 FIFA20 Data Exploration using Python

学生对 Coursera Project Network 提供的 FIFA20 Data Exploration using Python 的评价和反馈

51 个评分


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....



1 - FIFA20 Data Exploration using Python 的 8 个评论(共 8 个)

创建者 Wan N A B W T

Sep 30, 2020


Sep 24, 2020

创建者 Abdullayev S M

Sep 18, 2020

创建者 Harshvardhan M

Sep 14, 2020

创建者 Ignacio I

Nov 24, 2022

创建者 Michael K

Sep 24, 2020

创建者 Maksim M

Sep 17, 2020

创建者 Sean S

Oct 12, 2020