Analyze NFL Stats with Python Case Study
Use NFL team statistics to model game winners and discover the most important team-level stats
Time to completeApprox. 1 hours
Certificate of completionIncluded with paid plans
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.
NFL Stats Case Study
Build a machine learning model using NFL statistics to predict who will win a game!
Hands-on learningDon’t just watch or read about someone else coding — write your own code live in our online, interactive platform. You’ll even get AI-driven recommendations on what you need to review to help keep you on track.
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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.