Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Codecademy

Analyze NFL Stats with Python Case Study

via Codecademy

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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.

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

Reviews

4.2 rating at Codecademy based on 86 ratings

Start your review of Analyze NFL Stats with Python Case Study

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.