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