Fully Explained AdaBoost Ensemble Technique with Python Example

Author(s): Amit Chauhan

Originally published on Towards AI.

Boosting ensemble algorithm in machine learning
Photo by Alex Chumak on Unsplash

Introduction

Ensemble techniques: We can say it is a collection or group of weak model machine learning models that become a strong machine learning model that technique is known as an ensemble.

Weak learners or base models: These are the different algorithms used in a collection of machine learning base models in the ensemble, these models can be logistic regression, SVM, decision trees, linear regression, random forest, etc.

In ensemble techniques, we need variation in the models to make them predictors from the variety and don’t try to give the same prediction analysis.

This variation can be done by… Read the full blog for free on Medium.

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Published via Towards AI