Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, AdaBoost & XGBoost in Python
InstructorStart-Tech AcademyThe curriculum provides specific modules for Bagging, Random Forests, and Boosting techniques like AdaBoost and XGBoost.
Instruction includes data importing, dummy variable creation, and train-test splitting to simulate a complete machine learning pipeline.
One signal suggests that specific criteria such as Gini purity and entropy are not covered, and another notes a lack of focus on imbalanced datasets.
Learner signals indicate the pacing can feel slow and that some content contains repetitions.
The curriculum aligns with the stated goals of beginners and professionals through its inclusion of Python basics and preprocessing.
