Foundations of Gradient Boosting

Overview

You'll start by building a single decision tree, then see how combining trees in a Random Forest improves results. Finally, you'll learn the sequential approach of Gradient Boosting, building and tuning your first powerful boosting model.

Syllabus

Unit 1: Building Your First Tree

Loading Real World Banking Data
Getting to Know Your Data
Preparing Data for Machine Learning
Training Your First Decision Tree Model

Unit 2: Ensemble Learning Fundamentals

Building Your First Ensemble Model
Sequential Ensemble Training
Ensemble Learning Explanation_a7K9m

Unit 3: Building Robust Gradient Boosting

Tracking Model Learning Progress
When Models Stop Improving
Comparing Different Boosting Approaches

Unit 4: Understanding Feature Importance

Discover What Your Model Learned
Building Structured Feature Views
Training with Top Features Only

Reviews

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