Creating Ensemble Models with Python

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level
Intermediate
Subject
Machine Learning
Course Length
1 hour 46 minutes
Subscription
Data Academy

Course Description

Recognize underfitting and overfitting, implement bagging and boosting, and build a stacked ensemble model using a number of classifiers. This course is part of the Supervised Learning path – complete this path to learn how to use and evaluate a range of supervised learning algorithms.

Requirements

  • Previous experience of using Python is required. Prior knowledge of machine learning is not necessary.