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Ensemble Methods in Machine Learning

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Overview

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Models are great on their own but you can make them better by combining them together! Ensemble methods are techniques in machine learning that help you do this.

Syllabus

  • Introduction to Ensemble Methods in Machine Learning: Learn about ensembling methods in machine learning like bagging, boosting and stacking!
    • Informational: Welcome to Ensemble Methods in Machine Learning
    • Article: Introduction to Ensembling Methods
  • Random Forests: Learn about bagging, random forests and how to implement them using `scikit-learn`!
    • Lesson: Random Forests
    • Quiz: Random Forests Quiz
    • Project: Random Forests Project
  • Boosting & Stacking Machine Learning Models: Learning about boosting machine learning models!
    • Lesson: Boosting Machine Learning Models
    • Article: Stacking
    • Informational: Next Steps

Taught by

Nitya Mandyam

Reviews

4.1 rating at Codecademy based on 14 ratings

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