Battle of the Boosters

We have come a long way in the world of Gradient Boosting. If you have followed the whole series, you should have a much better understanding about the theory and practical aspects of the major algorithms in this space. After a grim walk through the math and theory behind these algorithms, I thought it would be a fun change to see all of them in action in a highly practical blog post. I have chosen a few datasets for regression from Kaggle Datasets, mainly because it's easy to setup and run in Google Colab. Another reason is that I do not need to spend a lot of time in data preprocessing, instead I can pick one of the public kernels and get cracking.