Course Decision Trees and Random Forests This course will enable learners to be accustomed with the concept of Decision Tree and related techniques. At the end of this course learners will also be able to understand how to use ensemble models for solving business problems. free Machine Learning Math Self-learning 4 Lessons Home Forum Course Members268 Outcomes By the end of the course, learners will be familiar with the following: How a decision tree works The necessity to prune the tree Ensemble methods like Bagging, Random Forest, Boosting The difference between various decision tree methods Level: 3 Duration: 3 hours Pre-requisites: Classification: Level 01 Refer Topics on Mathematics What’s next: Lessons Introduction to Decision Trees and pruning trees Bagging and Random Forest Boosting Rate your experience