Course Description
Nestled within machine learning are ensemble techniques that enable the combination of multiple models to reduce prediction error and improve forecasting ability. Explore machine learning methods, including random forests and uplift models.
Learning Objectives
Random Forests
- Start the course
- identify key features of random forests
- identify key features of decision trees
- recognize random forest performance measurements
- identify key random forest model concepts
Uplift Models
- identify key features of uplift models
- recognize who to target with uplift models
- recognize how uplift models work
Practice: Advanced Predictive Tools
- implement a random forest and an uplift model using an example dataset