README.md

AI in Sports with Python

See the full VIDEO COURSE, with access to all episodes and instructional videos!

This video course works best with my book "Applied Machine Learning for Health and Fitness" APRESS or buy on Amazon

Check my website: activefitness.ai/ai-in-sports-with-python for the latest updates.

Table of Contents

Please, use these supplemental materials and code for the video course AI in Sports with Python.

Complete list of videos, you can also navigate to individual videos and notebooks below.

For notebooks, it is recommended that your kernel environment is set to Python 3. Check requirements.txt for dependencies.

VIDEO COURSE EPISODES

• Module 1 - Getting Started
  • Episode 1.1 - Getting Started (Video)
  • Episode 1.2 - Sport Scientist Toolbox (Video | Notebook)
• Module 2 - Physics of Sports
  • Episode 2.1 - Sensors
  • Episode 2.2 - Kinematics (Video | Notebook)
  • Episode 2.3 - Figure Skating (Video | Notebook)
• Module 3 - Neural Networks
  • Episode 3.1 - Neural Networks (Video | Notebook)
  • Episode 3.2 - Simple Neural Network (Video | Notebook)
  • Episode 3.3 - Multi-Layer Neural Network (Video | Notebook)
• Module 4 - Deep Vision
  • Episode 4.1 - Computer Vision (Video | Notebook)
  • Episode 4.2 - Classification (Video | Notebook)
  • Episode 4.3 - Detection (Video | Notebook)
  • Episode 4.4 - Segmentation (Video | Notebook)
  • Episode 4.5 - Human Body Joints (Video | Notebook)
• Module 5 - Pose Estimation
  • Episode 5.1 - Introducing Pose Estimation (Video)
  • Episode 5.2 - Surfing (Video | Notebook)
  • Episode 5.3 - Skill Level Detection (Video | Notebook)
  • Episode 5.4 - Multi-Person Detection (Video | Notebook)
• Module 6 - Video Action Recognition
  • Episode 6.1 - Video Action Recognition (Video | Notebook)
  • Episode 6.2 - Video Classification (Video | Notebook)
• Module 7 - Reinforcement Learning
  • Episode 7.1 - Reinforcement Learning (Video | Notebook)
  • Episode 7.2 - Skateboarding (Video | Notebook)
  • Episode 7.3 - Gymnastics (Video | Notebook)
  • Episode 7.4 - Human Models (Video | Notebook)
• Module 8 - Machine Learning in the Cloud
  • Episode 8.1 - Machine Learning in the Cloud (Video | Notebook)
  • Episode 8.2 - Automating, Consuming ML, Pipelines (Video | Notebook)