Chevron Left
Back to Ensemble Methods in Machine Learning

Learner Reviews & Feedback for Ensemble Methods in Machine Learning by Coursera Project Network

11 ratings

About the Course

In this 2-hour long project-based course, you will learn how to implement various ensemble techniques and use it in machine learning. Ensemble models in machine learning combine the decisions from multiple models to improve the overall performance, The main causes of error in learning models are due to noise, bias and variance, Ensemble methods help to minimize these factors....
Filter by:

1 - 2 of 2 Reviews for Ensemble Methods in Machine Learning

By Michael F

Dec 22, 2021

This project walks through basic usage of scikit-learn's ensemble models. Their use is demonstrated both as stand alone models and as layers in a heterogeneous stacking model. The presentation was perfect for me because I knew the theory behind these models but not so much the scikit-learn usage. I strongly advise reading about bagging, boosting, etc. before doing the project, if you don't already have a theoretical background.

By Ezequiel M

Oct 24, 2022

There was no explanation whatsoever, it was a guy sharing a screen making and printing accuracy