Subscribe now to start your 30-day free trial!
Data Academy Subscription > Machine Learning > Creating Ensemble Models with Python
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.
Instructor:
Packt Data