Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, AdaBoost & XGBoost in Python

Decision Trees, Random Forests, AdaBoost & XGBoost in Python

Name: Ensemble techniques and data preprocessing workflows
Rating: 6.5

Duration7h 24m

Students129.5K

Rating4.5 (1,030)

Ensemble techniques and data preprocessing workflows

The curriculum provides specific modules for Bagging, Random Forests, and Boosting techniques like AdaBoost and XGBoost.

Curriculum

Instruction includes data importing, dummy variable creation, and train-test splitting to simulate a complete machine learning pipeline.

Curriculum