Introduction to Machine Learning in Sports Analytics is an intermediate-level online course provided by Coursera which is one of the leading online course providers. The online certification programme will guide the learners on how to use machine learning in sports analytics. Offered by Coursera, Introduction to Machine Learning in Sports Analytics Certification Course is the last course in the Sports Performance Analytics Specialization offered by the University of Michigan.
Introduction to Machine Learning in Sports Analytics Certification Syllabus will discuss the machine learning techniques, the prediction of athletic outcomes with machine learning, and many more. Introduction to Machine Learning in Sports Analytics Certification by Coursera can be taken by learners who have familiarity with Python.
Step 2 -Start learning the online programme ‘Introduction to Machine Learning in Sports Analytics’ by choosing the option ‘Enroll’.
The Syllabus
Videos
Introduction
What is Machine Learning?
The Machine Learning Workflow
Our First Model: NHL Game Outcomes
Building the Logistic Regression Model
Considerations in Deploying The Model
Wrap Up
Readings
Help Us Learn More About You
Course Syllabus
Assignment 1 Programming Solution
Quiz
Assignment 1
Ungraded Lab
JupyterLab
Videos
Introduction to Support Vector Machines (SVMs)
Polynomial Support Vector Machines
Cross Validation
A Real World SVM Model: Boxing Punch Classification
Readings
(Optional) - An evaluation of wearable inertial sensor configuration and supervised machine learning models for automatic punch classification in boxing