Ensemble Machine Learning in Python: Random Forest, AdaBoost

 Ensemble Machine Learning in Python: Random Forest, AdaBoost

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

The course “Ensemble Machine Learning in Python: Random Forest, AdaBoost” on Udemy teaches you how to use ensemble methods such as boosting, bagging, bootstrap and statistical machine learning for data science in Python. The course has a rating of 4.8 out of 5 and has 1949 reviews. It has a total of 44 lectures and takes around 5.5 hours to complete1.

What you'll 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

1. Deep Learning: Recurrent Neural Networks in Python
2. Unsupervised Deep Learning in Python

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