Ensemble Machine Learning in Python: Random Forest, AdaBoost

Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python.

What Will I Learn?

• Understand and derive the bias-variance decomposition
• Understand the bootstrap method and its application to bagging
• Understand why bagging improves classification and regression performance
• Understand and implement Random Forest
• Understand and implement AdaBoost

Includes:

• 5 hours on-demand video
• Full lifetime access
• Access on mobile and TV
• Certificate of Completion

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Take this course