Ensemble Methods in Machine Learning

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.

• Project Overview
• Ensemble models in machine learning combine the decisions from multiple models to improve the overall performance. By the end of this project you can implement various Ensemble techniques,