Analyze NFL Stats with Python Case Study
|
Use NFL team statistics to model game winners and discover the most important team-level stats
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.
Notes on Prerequisites
We recommend that you have some familiarity with Python before completing this Case Study.
User Reviews
Be the first to review “Analyze NFL Stats with Python Case Study”
Related Products
Introduction to Programming with Python I
Learn the basics of programming using Python, focusing on syntax, data types, and control structures.
Introduction to Programming with Python II
Build upon introductory Python knowledge, exploring data structures, algorithms, and libraries.
Intermediate Python
Build upon foundational Python skills, exploring advanced programming concepts and libraries.
Data Structures and Algorithms
Explore essential data structures and algorithms, focusing on problem-solving and coding efficiency.
Introduction to Javascript
Gain foundational knowledge of JavaScript, focusing on syntax, variables, and functions for web development.
Java Web Developer
Discover how to develop web applications using Java, including frameworks and best practices.
There are no reviews yet.