Analyze NFL Stats with Python Case Study
Offered By: Codecademy
Course Description
Overview
Use NFL team statistics to model game winners and discover the most important team-level stats
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.
### Notes on Prerequisites
We recommend that you have some familiarity with Python before completing this Case Study.
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.
### Notes on Prerequisites
We recommend that you have some familiarity with Python before completing this Case Study.
Syllabus
- NFL Stats Case Study: Build a machine learning model using NFL statistics to predict who will win a game!
- Article: Analyze NFL Stats with Python
- Project: Analyze NFL Stats with Python
- Informational: Analyze NFL Stats with Python: Next Steps
Taught by
Kenny Lin
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