Boosting Algorithms in Machine Learning, Part I: AdaBoost

Understanding the logic behind AdaBoost and implementing it using Python

Gurjinder Kaur
Towards Data Science
13 min readJan 5, 2024

--

Photo by Jeffrey Brandjes on Unsplash

Introduction

In machine learning, boosting is a kind of ensemble learning method that combines several weak learners into a single strong learner. The idea is to train the weak learners sequentially, each trying…

--

--

Data Scientist @ CVS Health. Interested in reading and writing about Data Science and ML.