In this video, on “FIFA world cup 2022 winner using python* we will predict the winner of FIFA World Cup 2022 with the help of python and machine learning. In this *Python Projects For Beginners* tutorial, we will solve different questions related to FIFA and the dataset. By the end of this tutorial, you guys will have a clear understanding of how python is used for predicting the winner of any competition.
✅ 00:00 FIFA World Cup 2022
✅ 02:00 Hands-on lab demo
✅ 26:26 Q1 – Is there such a thing as home team advantage?
✅ 37:00 Q2 – Which team has the most wins?
✅ 47:55 Q3 – What is the winning percentage comparing when the highest-ranked team plays against the lowest-ranked team?
✅ 1:03:33 Q4 – What is the winning percentage comparing when the highest attack rank plays against the lowest attack rank?
✅ 1:12:13 Q5 – Do teams with stronger offensive scores have more goals?
✅ 1:26:03 Q6 – Do teams with stronger goalkeepers receive fewer goals?
✅ 1:27:34 Q7 – Which are the top 10 teams with the longest win streak?
✅ 1:32:02 Q8 – Better team win percentage as a home team or away team?
✅ 1:37:00 Q9 – which team has the best goalkeeper, strongest defense, midfield, and offense score?
✅ 1:46:50 Q10 – Which are the top 15 teams with a high win percentage?
✅ 1:52:16 Q11 – Winner prediction FIFA world cup 2022
Link for the data set: https://drive.google.com/drive/folders/11gHmEIZA5KM4C3xvrpcgl02SfeDjz6iJ?usp=sharing
Numpy:
NumPy is a Python library used for working with arrays. It also has functions for working in the domain of linear algebra and matrices. It is an open-source project and you can use it freely. NumPy stands for Numerical Python.
Pandas
Pandas is a software library written for the Python programming language for data manipulation and analysis. In particular, it offers data structures and operations for manipulating numerical tables and time series.
Seaborn:
An open-source Python library based on matplotlib is called Seaborn. It is utilized for data exploration and data visualization. With data frames and the Pandas library, Seaborn functions with ease.
Matplotlib:
For Python and its numerical extension NumPy, Matplotlib is a cross-platform data visualization and graphical charting package. As a result, it presents a strong open source for MATLAB. The APIs (Application Programming Interfaces) for matplotlib allow programmers to incorporate graphs into GUI applications.
Datetime:
One of the most often used modules to modify date and time object data in Python is the built-inDateTimee library. In addition to creating date and DateTime objects, you can read and convert date strings, iterate across a range of dates, and more.
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