University Solutions Hub provides Machine Learning Week 5 solution
(Machine Learning).
Week 5: Classifying with Decision Trees and Improving with Random
Forest and Boosting
- Fundamentals of Ensemble Modeling
- Write a fully executed R-Markdown program and submit a pdf / word or
html file performing classification task using Random Forest and XGBoost
algorithms on the Binary response variable from the Santander Bank Case
Study. Make sure to try various hyperparameter settings of the two
algorithms to find the best available models.
Discussions:
- Ensemble Methods * Describe the fundamental difference between
Random Forest and a Boosted tree. Describe Out of bag sample and the
cost functions for both types of models
Note:
Only for knowledge gain and helping to the students(who are facing
difficulties when solving to the Assessments/ Home works) with their
course support.