This course, part of the Machine Learning Specialization by Andrew Ng, explores advanced machine learning algorithms. It covers neural networks, decision trees, ensemble methods like random forests and XGBoost, and best practices for training and evaluating models. The course includes practical programming assignments using TensorFlow.

Completion of "Supervised Learning: Regression and Classification" recommended.

Learners will build and train neural networks, implement decision trees and ensemble methods, and apply best practices to improve model performance.