After spending many moons inside of Copilot Studio, Fabric, and Azure OpenAI studio, I FINALLY get back to some machine learning. While messing around with hockey analytics the other day, I realized that I was not as strong as I wanted to be with the data. After all, that is what ML is about, right? This course came recommended by several data scientists that I follow. Also, it takes a deeper dive into unsupervised learning – this is one of my favorite areas.
Udemy course: https://udemy.com/course/visual-guide-to-machine-learning/
My Notes: https://docs.google.com/document/d/1BJmdHvEG2vcnTBkdpRjFybIyXKr7Z6nCkzkSfoCeUJs/edit?usp=sharing
While much of this was review, it was so fantastic to have it all in one place. Also, going through the concepts in excel really helped to illustrate the data instead of just calling code to do the work.
