Analyze NFL Stats with Python Case Study
Use NFL team statistics to model game winners and discover the most important team-level stats
Skill level
BeginnerTime to complete
Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary1 hourCertificate of completion
Included with paid plansPrerequisites
None
About this course
If you’re looking to put your machine learning skills to use answering interesting questions about the NFL, try this case study! We will provide you with the context, data, and instructions that you need to build a machine learning model to predict the winners of NFL games and guide you in making that model better. Finally, use feature importance to identify the most important stats for winning a game.
Syllabus
NFL Stats Case Study
Build a machine learning model using NFL statistics to predict who will win a game!
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Frequently asked questions about Analyze NFL Stats with Python Case Study
Data analysis involves using code to process and examine data for valuable insights and patterns. These insights can be used to improve business operations, create new features and products, better connect with users, and more.
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