Standalone Search Box Example

A Comprehensive Guide to Ensemble Learning

100% helpful (3/3)

Ensemble learning comes into the picture once we’ve mastered the basic machine learning algorithms. It’s a fascinating concept and has been spectacularly well explained in this article. There are plenty of examples to help break down complex topics into easy-to-digest ideas.

And because of the comprehensive nature of this guide, Aishwarya guides us through plenty of techniques – bagging, boosting, Random Forest, LightGBM, CatBoost, among others. A treasure trove of information all in one place!

You will often come across this approach in hackathons – it’s a proven method of climbing up the leaderboard.

Version history
Last update:
October 2019
Updated by:
Contributors