Introduction to Ensembling Methods in Machine Learning Beta

Welcome to the beta release for Introduction to Ensembling Methods in Machine Learning!
You can find a link to the course here.

Why take this course?
Sometimes machine learning challenges are best solved by combining the power of multiple models together in a technique known as ensemble learning. This course will introduce you to the most common ensembling techniques such as Random Forests, Boosting, and Stacking.

To that end allow me to introduce @michellemcsweeney, and @nityamandyam who worked to create this course. They’re here to answer any questions you have.

As a reminder, you can find an explanation of the process for beta testing here.