? Post Graduate Diploma in Artificial Intelligence by E&ICT Academy NIT Warangal: https://www.edureka.co/executive-programs/machine-learning-and-ai This Edureka on FIFA with Python is a part of the Python Tutorial series which analyzes a FIFA Dataset using Python to find out the World’s Best XI for FIFA World Cup 2018. In this Python Tutorial video you will learn how to analyze the datasets using various Python Libraries and plot the graph to find the best players at various positions in 4-3-3 lineup. Below are the topics we will be covering in this Python Tutorial: 00:00 Introduction 08:01 World’s Best Goalkeeper 11:59 World’s Best Defenders 20:11 World’s Best Mid-fielders 22:52 World’s Best Attackers ⚽Edureka FIFA Python Blog: http://bit.ly/2lGyxoe ⚽ ⚽FIFA Dataset: https://www.kaggle.com/artimous/complete-fifa-2017-player-dataset-global/data#FullData.csv ⚽ Python Tutorial Playlist: https://goo.gl/WsBpKe Python Tutorial Blog Series: http://bit.ly/2sqmP4s ——————————————- ?Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV ———-??????? ?????? ?????????———– ?Python Programming Certification: http://bit.ly/37rEsnA ?Python Certification Training for Data Science: http://bit.ly/2Gj6fux ———-??????? ??????? ???????———- ?Data Scientist Masters Program: http://bit.ly/2t1snGM ?Machine Learning Engineer Masters Program: https://bit.ly/3Hi1sXN ———–??????? ?????????? ???????———- ?Post Graduate Diploma in Artificial Intelligence Course offered by E&ICT Academy NIT Warangal: https://bit.ly/3qdRRdw Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ SlideShare: https://www.slideshare.net/EdurekaIN Castbox: https://castbox.fm/networks/505?country=in Meetup: https://www.meetup.com/edureka/ Check out our Python Training Playlist: https://goo.gl/Na1p9G #edureka #pythonedureka #FIFAPython #pythondataanalysis #FIFAAnalysis #PythonOnlineTraining #pythonTutorial #pythonTutorialforBeginners #python ——————————————- About the Python for Data Science Certification Training by Edureka Edureka’s Data Science using Python programming certification course enables you to learn data science concepts from scratch. This Python Course will also help you master important Python programming concepts such as data operations, file operations, object-oriented programming and various Python libraries such as Pandas, Numpy, Matplotlib which are essential for Data Science. – – – – – – – – – – – – – – – – – – – Why learn Python? Python Programming is one of the most loved languages by developers, data scientists, software engineers, and even hackers as it is versatile, flexible, and object-oriented. The primary reason behind the popularity of Python is that even though it is capable of performing complex tasks, it is very easy to learn coding with Python. ———————————- Python for Data Science Training Curriculum This Data Science using Python Certification Training will give you a brief Introduction to Python through the concepts like Python Sequences and File Operations, Python Functions, OOP in Python, Python Modules, Python Errors and Exceptions, Python Libraries like NumPy, Pandas, and Matplotlib, Data Manipulation, Introduction to Machine Learning with Python, Supervised Learning using Python, Dimensionality Reduction, Association Rules Mining and Recommendation Systems, Reinforcement Learning, Time Series Analysis using Python, Model Selection and Boosting, etc. ———————————- Who should go for python? Edureka’s Data Science certification course in Python is a good fit for professionals like: · Programmers, Developers, Technical Leads, Architects · Developers aspiring to be a ‘Machine Learning Engineer’ · Analytics Managers who are leading a team of analysts · Business Analysts who want to understand Machine Learning (ML) Techniques · Information Architects who want to gain expertise in Predictive Analytics · ‘Python’ professionals who want to design automatic predictive models For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free)