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 II
Build upon introductory Python knowledge, exploring data structures, algorithms, and libraries.
iOS Development with SwiftUI and SwiftData
Learn to develop iOS applications using SwiftUI for user interfaces and SwiftData for data management.
Java Fundamentals
Understand the core concepts of Java programming, including syntax, data structures, and OOP principles.
Introduction to Programming with Python I
Learn the basics of programming using Python, focusing on syntax, data types, and control structures.
Introduction to Javascript
Gain foundational knowledge of JavaScript, focusing on syntax, variables, and functions for web development.
Intermediate Python
Build upon foundational Python skills, exploring advanced programming concepts and libraries.
There are no reviews yet.