Finding FIFA World Cup 2018 Best XI Using Python | Analyzing FIFA World Cup Data | Edureka

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Put your Best XI for FIFA World Cup 2018 in the comment Section.
This Edureka video analyzes FIFA Dataset using python to find out World's Best XI for FIFA World Cup 2018. ( FIFA Python Blog: http://bit.ly/2lGyxoe ). This video helps you to find the below players for 4-3-3 lineup:

1. World's Best Goalkeeper
2. World's Best Defenders
3. World's Best Mid-fielders
4. World's Best Attackers

FIFA Dataset: https://www.kaggle.com/artimous/complete-fifa-2017-player-dataset-global/data#FullData.csv

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About the Course

Edureka’s Course on Python helps you gain expertise in various machine learning algorithms such as regression, clustering, decision trees, random forest, Naïve Bayes and Q-Learning. Throughout the Python Certification Course, you’ll be solving real life case studies on Media, Healthcare, Social Media, Aviation, HR.
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Why learn Python?


Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations.
Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license.
Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain.

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